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Paper Citation Record · LEDGER

Neural Operator: Graph Kernel Network for Partial Differential Equations

As of 11 August 2026, this Paper Citation Record lists 100 of 141 outbound references and 100 inbound Pith citation observations for arXiv:2003.03485.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2003.03485 v1

Coverage vector

measured 100 of 141 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T22:17:48.826690Z

measured 200 of 200 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 100 of 151 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T06:07:25.492570Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

100 of 141 outbound references displayed

  • verified exact7
  • verified fuzzy71
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch12

External citation measurements

154
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 9bca560e-aa5b-4a86-997b-d5ed8c8a90c0 · outbound

This paper cites G., Bader, B.

Neural Operator: Graph Kernel Network for Partial Differential Equations G., Bader, B

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9980f257-c799-46f4-8fa0-9355cb3eb535 · outbound

This paper cites Hsu and Sham M.

Neural Operator: Graph Kernel Network for Partial Differential Equations Hsu and Sham M

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 93365c6b-548f-4005-b100-f9d88d831678 · outbound

This paper cites V.

Neural Operator: Graph Kernel Network for Partial Differential Equations V

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9c006110-6e8a-485b-a009-9df56464d58e · outbound

This paper cites Fast adaptive interpolation of multi-dimensional arrays in tensor train format , isbn =.

Neural Operator: Graph Kernel Network for Partial Differential Equations Fast adaptive interpolation of multi-dimensional arrays in tensor train format , isbn =

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:2d8375c81baec77173f30b76222df086c5a48eb5f30708ffd1a4e5a505354afa

Observation 632c4f5e-7ad7-4e27-9fd2-b0fc2ae47cc9 · outbound

This paper cites Gorodetsky and Sertac Karaman and Youssef M.

Neural Operator: Graph Kernel Network for Partial Differential Equations Gorodetsky and Sertac Karaman and Youssef M

Reference 5

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.446936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 866a9431-588c-4197-847a-c92ba9d78f72 · outbound

This paper cites Spectral Tensor-Train Decomposition , journal =.

Neural Operator: Graph Kernel Network for Partial Differential Equations Spectral Tensor-Train Decomposition , journal =

Reference 6

Resolution
verified exact
doi, observed 2026-05-14T22:17:48.929186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5d4e5f44-427e-46cd-9d30-6d022a10467a · outbound

This paper cites ArXiv e-prints , archivePrefix = "arXiv", eprint =.

Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ddf78476-540c-4517-8691-f0be06b52fdc · outbound

This paper cites and Tyrtyshnikov, Eugene E.

Neural Operator: Graph Kernel Network for Partial Differential Equations and Tyrtyshnikov, Eugene E

Reference 8

Resolution
verified exact
doi, observed 2026-05-14T22:17:48.919584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 66625c99-0959-4141-b182-e30a8e35946b · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:2e10a9b1b72b7dbcfed483aaaa4921fe12c162656e470e11f3dc3d4fbf6aa6c7

Observation f0e91583-ce95-4e09-85e6-44a3aea2099f · outbound

This paper cites Finite element method --- Wikipedia , The Free Encyclopedia.

Neural Operator: Graph Kernel Network for Partial Differential Equations Finite element method --- Wikipedia , The Free Encyclopedia

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation ef90b73e-3404-4ce0-b769-89316fe7dfce · outbound

This paper cites CoRR , volume =.

Neural Operator: Graph Kernel Network for Partial Differential Equations CoRR , volume =

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:afa7525e2bda6d6146c57e35217bc28fe05581b02a7cf0ca07bfbc827d37f721

Observation c5ada4fe-00d2-4d42-8704-03bcf79edcfb · outbound

This paper cites ArXiv e-prints , archivePrefix = "arXiv", eprint =.

Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.467463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 24af36c8-dc7b-467f-893d-4838a4a25499 · outbound

This paper cites Gerstner and M.

Neural Operator: Graph Kernel Network for Partial Differential Equations Gerstner and M

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:7018bdf8b06c422ba0766dc6fc258443dcea5a978f8197614f2c17b7bb512205

Observation eb209ab4-2313-4ccf-94ca-95707e07fcd0 · outbound

This paper cites Constructive Approximation , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Constructive Approximation , volume=

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:a603fec97028b77c89980b0be81412405e8a786d5b32ff203265b6edd1a05e4d

Observation edf4aaf3-99bd-41e7-91e5-1c8dadc8f5e5 · outbound

This paper cites Chemometrics and Intelligent Laboratory Systems , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Chemometrics and Intelligent Laboratory Systems , volume=

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:8e4c859711ca62fc79e0e2d06b1ed0dd452116b96ff8c5f298d46440aa3506aa

Observation c8b2f401-4e93-43c1-8721-580c1fcc0294 · outbound

This paper cites Numerische Mathematik , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Numerische Mathematik , volume=

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:37cf884c74e18c82672dd3e6aa1d2ead3b45d163f91bb54ebbd97da8f068b131

Observation c36a7186-d911-4084-9539-adb1dc419817 · outbound

This paper cites Advances in Computational Mathematics , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in Computational Mathematics , volume=

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 81586138-681d-4ef7-aa93-a202f86b66a0 · outbound

This paper cites ArXiv e-prints , archivePrefix = "arXiv", eprint =.

Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:1bf2df602ec89bd27716fdcd6f701e0f4b52dd7ab5e15fc572c9a8f945a95baa

Observation 605872ce-71b8-4e51-8077-97c51e9fa2c7 · outbound

This paper cites 2016 , url =.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2016 , url =

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:219603625c6ceb374a9acf26d04e4b399cadfb5f704aeca0e61e434b458748e0

Observation de51dbe9-9f54-4c62-a118-0f805f51ba37 · outbound

This paper cites Explicit and implicit methods --- Wikipedia , The Free Encyclopedia.

Neural Operator: Graph Kernel Network for Partial Differential Equations Explicit and implicit methods --- Wikipedia , The Free Encyclopedia

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation a7abf154-db74-482a-aae3-3845388de1fe · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f62fbad2-256b-4157-8fde-189f7af739c2 · outbound

This paper cites ArXiv e-prints , archivePrefix = "arXiv", eprint =.

Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:87284e061e87e21e46bdcdc77522d70d1e8fa9c65a5edd4fe6aecbf5e623aee7

Observation cfa0eb91-74ba-47ec-9a0b-4afa367a05da · outbound

This paper cites Approximation of 2\^.

Neural Operator: Graph Kernel Network for Partial Differential Equations Approximation of 2\^

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 41d1d9f3-9577-4dd7-9a93-68f7ba987608 · outbound

This paper cites SIAM Conference on Uncertainty Qualification , year=.

Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Conference on Uncertainty Qualification , year=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.514483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 405893ce-7a43-4327-9b54-101683ccedcb · outbound

This paper cites Foundations of Computational Mathematics , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Foundations of Computational Mathematics , volume=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.518710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation f5387639-7281-4f72-a300-11d8b057ad10 · outbound

This paper cites Linear Algebra and its Applications , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Linear Algebra and its Applications , volume=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.522780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:3ac08c1d1253976b91614fae75988226e033a430551b098cc72ddd6b294de908

Observation a7fc2703-3922-46ba-8566-f121fbdf4a8f · outbound

This paper cites A hybrid Alternating Least Squares -- TT Cross algorithm for parametric PDEs.

Neural Operator: Graph Kernel Network for Partial Differential Equations A hybrid Alternating Least Squares -- TT Cross algorithm for parametric PDEs

Reference 27

Resolution
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local_arxiv, observed 2026-05-14T22:17:49.061176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:ee8d40e077291ff3f5e4edb67cc057901cfdb20eb79550334977ba77c07ebdc9

Observation b322bbb4-4caa-4736-b802-98ab7e0e3d30 · outbound

This paper cites Computational Methods in Applied Mathematics Comput.

Neural Operator: Graph Kernel Network for Partial Differential Equations Computational Methods in Applied Mathematics Comput

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.526741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:8dfabb05c53eee2d21c2ece0bbe1734eaa303c162683750a5ab67a3bf131dd85

Observation 3d30c01f-20f5-4324-a8b8-7ca0628b7f19 · outbound

This paper cites Artificial Intelligence and Statistics , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Artificial Intelligence and Statistics , pages=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.530501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 28a30d80-7ae1-4bc7-9aeb-d5461330065c · outbound

This paper cites Advances in neural information processing systems , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in neural information processing systems , pages=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.534323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:6200472a49cd88a92ee610ae6fb1d883df5274456d6cf4e9ab19593ba520675d

Observation 2feac342-8202-47ab-9834-79b7f0bbb70f · outbound

This paper cites International Conference on Machine Learning , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations International Conference on Machine Learning , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.065211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:79c188104f3b64e6f53827d997f351e3a9bef77c382ad6b894063d6343880660

Observation 586622ed-287d-46e3-b8c9-fd7c1c854373 · outbound

This paper cites Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition.

Neural Operator: Graph Kernel Network for Partial Differential Equations Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition

Reference 32

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:48.996064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:5263cf3a7b064f9d97668ce6d5f6c5c51df8d457b957c9b8b7df073900863bce

Observation 5a0bddde-8ad1-49e3-8c9d-4d6723996937 · outbound

This paper cites 2012 , school=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2012 , school=

Reference 33

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raw_fallback, observed 2026-05-14T22:17:49.069335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:7298f0a5be9d41896b7ef96bd116867db568145328eb6c8c50278b76d6687132

Observation c1eb66a8-e91d-4945-a241-adaba872cced · outbound

This paper cites Artificial Intelligence and Statistics , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Artificial Intelligence and Statistics , pages=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.074154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:84a67263e81793d045afc70b59bd990983b4abd02e3b23aa63d1008172b7824f

Observation b203ad1f-3264-4484-ad80-547d23c4582a · outbound

This paper cites The FEniCS Project Version 1.5.

Neural Operator: Graph Kernel Network for Partial Differential Equations The FEniCS Project Version 1.5

Reference 35

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doi, observed 2026-05-14T22:17:48.913582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:e9108e2d3c958a66a1d50e58aee5e95f5de4068d341f579a23154226d222edaa

Observation 0bcd64f1-2c96-4bc1-bd6e-03970895cf20 · outbound

This paper cites IEEE Transactions on Cybernetics , year=.

Neural Operator: Graph Kernel Network for Partial Differential Equations IEEE Transactions on Cybernetics , year=

Reference 36

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verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.078244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:3b5e120ff0c2a9172a882503147e6d26be600f22cf48f59c017eead887d0afdb

Observation 174638b4-0c40-4dbf-86ad-3335bd9fb3a8 · outbound

This paper cites SIAM Journal on Matrix Analysis and Applications , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Journal on Matrix Analysis and Applications , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.082506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:aa8597b1866d32679b086d14bbcd9322266f38025fc8b5dcfc8a493ea66059e7

Observation ab373eb0-353d-4dbb-8985-fd4b934c110d · outbound

This paper cites Computing , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Computing , volume=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.086644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:3019970772b59082ba0130898c651d092666fd91df67a795c4a5f62759353bc0

Observation 6d512538-44f3-43dc-b0b2-440836743280 · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Journal on Scientific Computing , volume=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.090823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:5944c588b9220542735d96438d649a53a695002037b95a1dafce7f946d43f9b0

Observation ae071056-081b-473b-87e0-2f854e8aa66a · outbound

This paper cites SIAM Journal on Scientific Computing , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Journal on Scientific Computing , volume=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.094606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:a7e45cd5007950509d69d9b150244f47c78727f7530b49fc36f891d3cbfb9b60

Observation e672a5d0-49dc-4cdf-b7b6-b18dfbc4d289 · outbound

This paper cites Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions.

Neural Operator: Graph Kernel Network for Partial Differential Equations Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:49.009517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:bd3bcdeead4372074bb3fbfae13ab474755537fcf14cb8853e523da842f8bdb3

Observation 32ac23c5-60e0-4ba5-a646-12f8e3a5fea4 · outbound

This paper cites Conference on Learning Theory , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Conference on Learning Theory , pages=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.098771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:02a5aa405dd693df1156a81ad94178b61b23e17ff89bdff18b1006cc4f8f9137

Observation c8fa4549-bd61-44f2-a8ad-4a7e30ce4de2 · outbound

This paper cites International Conference on Machine Learning , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations International Conference on Machine Learning , pages=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.103151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:e201c4473e99d4f9ca095482529f120c6f467a4a175ff5dfdecef77c65e79fd3

Observation c4bcc166-e5d7-42bf-b035-1c66f18dc389 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Neural Operator: Graph Kernel Network for Partial Differential Equations Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 44

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:49.042512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:17b6b42d9ea9167234dad256224048a9f501ddc55b699e922c047076cf17c9b8

Observation ef55adf4-fee9-4518-b3fb-a18dbc606614 · outbound

This paper cites Entanglement and tensor network states.

Neural Operator: Graph Kernel Network for Partial Differential Equations Entanglement and tensor network states

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:49.055158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:ec94cc4e292b633e460a948f03e056b344a85d6098c6ddab5056984d49134bbb

Observation 56cc4eda-c4d2-41b3-865c-199b08638a29 · outbound

This paper cites Physical review letters , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Physical review letters , volume=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.107234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:e0d7d9d4032890fc13bf762ff7eb9c9391324d1228193c18772f8d2d39709bfc

Observation 7df0f728-b39f-4c96-8e5f-e9067eafd554 · outbound

This paper cites Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz.

Neural Operator: Graph Kernel Network for Partial Differential Equations Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:48.989649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:d93fbb9a62b34ff0e6f9831d7bf7309bc673e75c98e5d597938a4af5c257d282

Observation 875f63cf-f57b-475e-a356-09cfe43f9a2a · outbound

This paper cites Journal of Physics A: Mathematical and Theoretical , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Journal of Physics A: Mathematical and Theoretical , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.111102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:d136611c957144a0475c6a4cf2965108c5f1aa5f6dce75dbb19d6b82f3f4c7f6

Observation 6243ad60-af75-4bf0-b7ac-467ad7959a71 · outbound

This paper cites Physical review letters , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Physical review letters , volume=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.115072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:49a494b0072f94118120cad15dcc225effaa981e8391fefca5f16c371f8d0f93

Observation 37b12515-646b-40c4-a31c-8faf1e6a360c · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.119339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:4d9b488bb7194ed5cc5d7fc3807df36a30a42b7aa65e8a2893e98280f8de681a

Observation 9033f4ea-9ec5-4994-9c60-f53125dcd869 · outbound

This paper cites CoRR , volume =.

Neural Operator: Graph Kernel Network for Partial Differential Equations CoRR , volume =

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.123497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:a785346dbe49a7bc45d40d965149421c5fe4690c97b661f2903af6b85661b091

Observation 0a4d390f-15f0-45e9-ba39-6ce0f46964f1 · outbound

This paper cites IEEE transactions on neural networks , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations IEEE transactions on neural networks , volume=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.128472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:f7c2080d0a1de1f33c6d5815f86f6726becbfd0c06c161d626ca5bb0af855b21

Observation 49ef4c6c-083d-480c-b675-2ca269862dd5 · outbound

This paper cites Learning Neural.

Neural Operator: Graph Kernel Network for Partial Differential Equations Learning Neural

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.132557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:6d38b6424582e382dd4a917954da3c1e4d82c40936a3e03d68ab262de1575194

Observation 852f5d6a-3238-46ee-8b09-aa66168d72ce · outbound

This paper cites Journal of Computational Physics , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Journal of Computational Physics , volume=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.136582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:c5a78dfc6ac07a9453078e57f3fcc6be5806cf909b93c9e1f6f3e34e4adedcb1

Observation a6404ef2-9784-4142-abbe-89eee49f0ddd · outbound

This paper cites 36th International Conference on Machine Learning , year =.

Neural Operator: Graph Kernel Network for Partial Differential Equations 36th International Conference on Machine Learning , year =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.140944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:791cf3bce513b5ac019bd8801f1abbe03712b0bbef68c1d447a14e5445527664

Observation 255ff83a-c73b-43bd-9a36-3be3417bcb54 · outbound

This paper cites Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.144896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:5b6599c1b1851e3b4ee44a55043d717dd1edcc28d2704fb3fcd73a01a8105b53

Observation 2f3f3fc5-6e20-4ab9-bd87-421b3ed5a850 · outbound

This paper cites Gated Graph Sequence Neural Networks.

Neural Operator: Graph Kernel Network for Partial Differential Equations Gated Graph Sequence Neural Networks

Reference 58

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:48.962530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:6969e91af0c4039465e3bc698cfcf08be2bceb1b271e2ffd121bf88caed31d57

Observation 56897145-54d8-4545-b9d2-892548ab9c42 · outbound

This paper cites Advances in neural information processing systems , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in neural information processing systems , pages=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.149150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:1e6ecb1486506b3a638a8105b14652c28e99215a24c3917c0aab278ee5873038

Observation 1906b8f6-709f-4461-94ce-df537efbe000 · outbound

This paper cites Advances in neural information processing systems , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in neural information processing systems , pages=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.153712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:2797210b5089946b9f465d8885284508a1775392b90b813305ee21882b78fd4b

Observation 58814368-9987-4ce9-a954-2126b6c80d31 · outbound

This paper cites A multiscale neural network based on hierarchical matrices.

Neural Operator: Graph Kernel Network for Partial Differential Equations A multiscale neural network based on hierarchical matrices

Reference 61

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:17:49.016713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:6a3c86830a05aaee7bd52188bcdb616bc76f34d82c0e3e5576d2add458a0c444

Observation 652eb567-b038-4c07-a12c-f1d366c9aa78 · outbound

This paper cites Chemistry of Materials , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Chemistry of Materials , volume=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.158129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:65cb9a98334d6a3c29d7b52c9c597c118c931fd538c40cbda1cb127c5abe4840

Observation 16ef1c5f-651d-40ac-8fe4-f5dbcb0bb1a6 · outbound

This paper cites Journal of Computational Physics , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Journal of Computational Physics , volume=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.162798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:bf401de3f45a88c87e199758be636d30986c756f6e4c2f3d1a9407282a537f98

Observation f42d79c5-17f8-4e91-95af-e0a1255e7e54 · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds.

Neural Operator: Graph Kernel Network for Partial Differential Equations Dynamic Graph CNN for Learning on Point Clouds

Reference 64

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:49.029519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:cc6eb1a0f5b607ddb6a136382c0e75d3fb8b7d436613972e44a07463012a4834

Observation 99e02a96-5806-40c2-bf03-b301d9fa68af · outbound

This paper cites AIAA Aviation 2019 Forum , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations AIAA Aviation 2019 Forum , pages=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.167244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:ec773630b1246323a7dc60779e7842abfd79ac7b42b5529bd1118b404e145c84

Observation 6d07486f-973a-4efb-9ecd-aac220e517fd · outbound

This paper cites Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , year=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , year=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.171686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:87aae17fa73b00a4e9d96c72397b3309577b834c0389099a5205de3e62ad909d

Observation 61d453e2-72b3-4739-9ee9-def53684d147 · outbound

This paper cites Computational Mechanics , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Computational Mechanics , pages=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.175740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:84e6a7a83673761aa164d623d8dd816aa68eaaf8265e516665daec36a0919a3c

Observation ff3ce07e-4431-4b17-9cf7-a35413d92ea5 · outbound

This paper cites Graph U-Nets.

Neural Operator: Graph Kernel Network for Partial Differential Equations Graph U-Nets

Reference 68

Resolution
metadata mismatch
local_arxiv, observed 2026-05-14T22:17:49.035584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:1fb6a2747b39f5edd2a96b3714ab87c60475086f51d508f1a8a890b812d4c3ca

Observation eba1c5eb-0d24-46c7-b43f-6bbe8cf8793d · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , year=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Proceedings of the 34th International Conference on Machine Learning , year=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.179880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:ea15a9a162983c526ad31a4a8489e32b9278ea0ea3cd15bae70b97f1c712b6cc

Observation 766621a7-11ae-4704-ad2a-099339bca0b8 · outbound

This paper cites 1982 , publisher=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 1982 , publisher=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.183943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:aa2cfef0576e1a92e89ee655930b4a235dd204c3e9ced152525b2e67a2e3f89d

Observation 2a228f1d-f482-4575-9cea-1684208efca1 · outbound

This paper cites 2012 , publisher=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2012 , publisher=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.188269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:14b4df70a15550eeeef928fe8add9c045804f10547d7f985f841e58331e03fbe

Observation cb07403b-5b0b-4257-8958-af47edce6e88 · outbound

This paper cites Acta Mathematica , year=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Acta Mathematica , year=

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.192121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:8833d5d047ce8a85ba111b0175065b2996ef6997236ebff38fc864317a9723ed

Observation 1ebfa253-0383-4167-9447-7b8c30f0bfc3 · outbound

This paper cites Spectral partitioning with indefinite kernels using the Nystr.

Neural Operator: Graph Kernel Network for Partial Differential Equations Spectral partitioning with indefinite kernels using the Nystr

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.196287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:2411620eb9cd05a18b95a31bc828c0d276125d52867b9209fb3c16a8734437ce

Observation abf729a7-2f31-4d42-b40b-423e790c7a2f · outbound

This paper cites 2012 , publisher=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2012 , publisher=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.200415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:ea904784da9dc47db4da0484c2b8f4c25c6af897c852b353365e3a0751dd536a

Observation 1b12a00f-838a-4400-acb8-9eca5046d323 · outbound

This paper cites 2005 , publisher=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2005 , publisher=

Reference 76

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:d60d3e9440f1b974af3a98adf40575cd2023ef1df2e78c85c83909f1103d4365

Observation ae9315b2-456e-4212-b407-12a2e8f7758f · outbound

This paper cites 2010 , publisher=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2010 , publisher=

Reference 77

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.208053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:18964023ad8da981d71e57c511119d30d136d4ad61f734d53090f2027efbe36e

Observation 0231029a-6715-4133-923a-6afb8555e93e · outbound

This paper cites 2015 , publisher=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2015 , publisher=

Reference 78

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.211870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:e255b03f014a0ef4902ae5107d7a8b43a62671bba5867d80734cd86280cadfcf

Observation f9265b4c-6ec9-4cba-b2cc-fda6a05b5400 · outbound

This paper cites The Journal of Machine Learning Research , volume=.

Neural Operator: Graph Kernel Network for Partial Differential Equations The Journal of Machine Learning Research , volume=

Reference 79

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.215993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:bbc340d6cdf339db70a0fdf91a36d5f4cd127be66e04470ea41b4edc203fd229

Observation 598ba59f-efa2-4889-8fe9-a2cce14ab83d · outbound

This paper cites 2014 , publisher=.

Neural Operator: Graph Kernel Network for Partial Differential Equations 2014 , publisher=

Reference 80

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:32e2cca8bf2e211414801149d2fc27eb8358e101b3ad04c6bc8783692e636ae7

Observation e035a1e7-eea3-4b01-8e42-7d7b7b5fb840 · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.223798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:c86181e5a2c4f8c71aaed31256eb9f8d8befe82b1fbf7a3928acf541f8ea8a3a

Observation 7361b418-78e7-4452-98a8-82ae2e133a94 · outbound

This paper cites title =.

Neural Operator: Graph Kernel Network for Partial Differential Equations title =

Reference 82

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:6783c702ef520e4037527b139f2eb5675bd0ca604d1f8c3fc473ae4d9d3ac85d

Observation 1836fc26-7093-47fa-a76b-cd245f25e052 · outbound

This paper cites Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics , year =.

Neural Operator: Graph Kernel Network for Partial Differential Equations Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics , year =

Reference 83

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:b6f48ae1dcebceaef8eb9f13f929fec008f8c166538bed383b867953cd4ec663

Observation b88e5e38-9402-4060-8455-fee907cde76b · outbound

This paper cites CoRR , volume =.

Neural Operator: Graph Kernel Network for Partial Differential Equations CoRR , volume =

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.236547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:c0dd94fa8e3ca62a986cd91e53c5e52838e6df9aaf344cbd883e2bb79ac48197

Observation b8c2cc2a-cb73-4054-91c1-4844e7bda1c2 · outbound

This paper cites arXiv e-prints , keywords =.

Neural Operator: Graph Kernel Network for Partial Differential Equations arXiv e-prints , keywords =

Reference 85

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:f549ffe76abf682634e04dcb1763797f6c794aa9b90b92e8f91ca6ad2fa41373

Observation 68d96484-95e2-46f8-a90a-cfbe3560b345 · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.244979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:4743ae24981a4765bbec6b57f2eca607ff3bf20723d5bd10b7f5dba40636c2ac

Observation f8ab1e0f-b239-40ac-bde4-f7498e3159cc · outbound

This paper cites arXiv e-prints , keywords =.

Neural Operator: Graph Kernel Network for Partial Differential Equations arXiv e-prints , keywords =

Reference 87

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:e2c2263160e599ec555124119b886ac634e01d0e96c9e75420ed7b22be7d0d34

Observation 334560b7-4fd3-4ca9-a2ac-b3ed591ccc0e · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 88

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.253275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:c3dc832fe6fa98a8b49bddb8620accce014e8b4aceaf088f6655ed37edf0129e

Observation 1f0ac4ff-6d16-429d-aa41-02f70fba038a · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 89

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.258913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:67b08a925c8c331617e505c9540f4b11682950b0fe25047226c42fd3811650f9

Observation b72323d5-d5a9-4046-a4cd-f9312a4a524a · outbound

This paper cites DeVore , title =.

Neural Operator: Graph Kernel Network for Partial Differential Equations DeVore , title =

Reference 90

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:e09771566a8fcaf9190f4c2c88f7d7e06bc3dd30d569607ff5d9ef76f950478c

Observation e1364ba1-5371-4b79-9bcf-bda877367d97 · outbound

This paper cites biburl =.

Neural Operator: Graph Kernel Network for Partial Differential Equations biburl =

Reference 91

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:b4fbb5de2459dddc2694003d9ed6e0c3873cc4c544ebac26a49fe5f669755da6

Observation 26f1a3ed-6ae7-4683-b855-3f8a0e2622e9 · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 92

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.267115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:3020ef92cafd614d28b7d1990f744f3635d888931396c21fa02f48b5b468897c

Observation a4e84d58-878f-4917-87c9-02b005cb3c54 · outbound

This paper cites Advances in neural information processing systems , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in neural information processing systems , pages=

Reference 94

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.272679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:cc58142e72c3d912d24f8d8c3ab4a3ff14ab322864195aaf68ebe0e7b074a1a9

Observation 5b196f6c-7a66-4846-8cb1-cb057179331a · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 95

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.277072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:ef7a3e1174bdd73d768b7efc74984334719055c1ed75fee18a93a3cb6ca389dd

Observation 0965930e-284f-4c27-b3a5-2d67145f8ef7 · outbound

This paper cites an unresolved cited work.

Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work

Reference 96

Resolution
unresolved
raw_fallback, observed 2026-05-14T22:17:49.281012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:2e66e4e78cce5c861ecd2c6baa61a2304a9cd72993503435ed0a84cab7a8d866

Observation 8bc8ff79-41bb-4b0d-a55b-279c410433df · outbound

This paper cites doi: 10.1016/j.jcp.2018.04.018.

Neural Operator: Graph Kernel Network for Partial Differential Equations doi: 10.1016/j.jcp.2018.04.018

Reference 98

Resolution
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doi, observed 2026-05-14T22:17:48.938968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:20cca6ea1bd98a9d7283709b529ea1ffdc619293ffcea644a031f0f100b48edb

Observation 48adbfc7-336d-42b9-969d-6673e0010a3a · outbound

This paper cites Solving ill-posed inverse problems using iterative deep neural networks.

Neural Operator: Graph Kernel Network for Partial Differential Equations Solving ill-posed inverse problems using iterative deep neural networks

Reference 99

Resolution
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doi, observed 2026-05-14T22:17:48.943746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:1720cc6396f78cc3447a6a7e730cdba9ebac35285a3a21ef0e0ef05d05577e52

Observation b855329f-2dde-4fac-ae44-dfd83e5218a5 · outbound

This paper cites The Deep Ritz Method: A Deep Learning-Based Numerical Algo- rithm for Solving Variational Problems.

Neural Operator: Graph Kernel Network for Partial Differential Equations The Deep Ritz Method: A Deep Learning-Based Numerical Algo- rithm for Solving Variational Problems

Reference 100

Resolution
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doi, observed 2026-05-14T22:17:48.908088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:c4a0ecb1f73df2afcfbc355f92dfbd092236eae0fc25b7ae02785f1adbd4dbfb

Observation d66201b2-7948-491b-a907-775d74bbea0f · outbound

This paper cites booktitle=.

Neural Operator: Graph Kernel Network for Partial Differential Equations booktitle=

Reference 101

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.285871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:db7544646572386dc6b634c21fb366649809518bb414cface0b6531548c07556

Observation b1ddfa16-b294-4724-a5e6-a977b4038cd2 · outbound

This paper cites Approximation of high-dimensional parametric PDEs , DOI=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Approximation of high-dimensional parametric PDEs , DOI=

Reference 102

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.289979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:4f6aec165ba2908a62ff4c33a883989832239e7e4a7e5c200d76ead92c8b677d

Observation 12a873b8-90a0-441e-ac24-86f4647343b7 · outbound

This paper cites SIAM Journal on Scientific Computing , year=.

Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Journal on Scientific Computing , year=

Reference 103

Resolution
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raw_fallback, observed 2026-05-14T22:17:49.293921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:87b9e2bb866eb41ebb6117c8fabc7e1a3b80f49230bb7bb566e0cb484b1f7b08

Observation 9b92a7c9-65cd-4dee-a769-03bca83c1948 · outbound

This paper cites Artificial Intelligence and Statistics , pages=.

Neural Operator: Graph Kernel Network for Partial Differential Equations Artificial Intelligence and Statistics , pages=

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T22:17:49.299288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T22:17:48.826690Z digest=sha256:a1c5c4a1de0eaea7901d2ea8a7a455c78fb513973822742f2bbce6f0cce64aa1

Pith citing papers

Observation 5281e162-d624-4bd9-bb00-cd0d02402545 · inbound

Fourier Neural Operator for Parametric Partial Differential Equations cites this paper.

Fourier Neural Operator for Parametric Partial Differential Equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T00:59:03.451352Z digest=sha256:099be4e36d2aff8e6c4db270c3652deae0df651a527ed4c5e3147fda21a82e31

Observation 597e327d-fd4b-4038-b01c-ac737016d331 · inbound

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations cites this paper.

Algorithmically Designed Artificial Neural Networks (ADANNs): Higher order deep operator learning for parametric partial differential equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 59

Resolution
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local_arxiv, observed 2026-05-24T09:39:17.253908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-24T09:36:59.102360Z digest=sha256:55dab1ec46fd5de0bdaa48057b2a3716e46492e0d550e9752798a0bcf1799eb3

Observation c14874b8-0ba3-445d-af19-1eee75a55972 · inbound

Generative diffusion learning for parametric partial differential equations cites this paper.

Generative diffusion learning for parametric partial differential equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-24T09:09:15.710831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-24T09:06:10.327568Z digest=sha256:cdbba7b7a1fc0835e01e5fe405b103c1b388e0686628ee372418eeb5854eada9

Observation d737c6a7-cabf-4ac6-811c-ff3fe99d3041 · inbound

Transolver: A Fast Transformer Solver for PDEs on General Geometries cites this paper.

Transolver: A Fast Transformer Solver for PDEs on General Geometries Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-15T21:40:24.233383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T21:40:24.181687Z digest=sha256:79d5926631a296fe1d7625ba4938e505244182ad5a041edb55d930c74679fb8f

Observation cc67e612-2e3d-497d-9fd1-c120803ebbb6 · inbound

Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning cites this paper.

Kernel Neural Operators (KNOs) for Scalable, Memory-efficient, Geometrically-flexible Operator Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-05-23T23:13:37.071060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T23:08:36.689122Z digest=sha256:5d640dec479d0e373c3af006742d146d40a41b4d1c649f5ba7f1b28d37dca0b9

Observation 788ffdbf-dd51-41be-8f1d-291b5d24f87e · inbound

Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning cites this paper.

Scalable Mechanistic Neural Networks for Differential Equations and Machine Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-05-23T19:33:22.127503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-23T19:33:01.290509Z digest=sha256:a480ff9d8c27bdacde8e7ca20c51a03837bf645d267bdb47d0c62dcd09531117

Observation 1f61a04e-3735-4aba-a05b-17a6e3858550 · inbound

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems cites this paper.

MCMC-Net: Accelerating Markov Chain Monte Carlo with Neural Networks for Inverse Problems Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T06:07:25.492570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T06:07:25.492570Z digest=sha256:a9c4bcb25f3de852534f0e0b5be8e3a5b0b694ff3f29d5fa25ce3764cd1fddaa

Observation ce42d74c-46d4-4b8c-80cc-f02f612ffb3e · inbound

Optimal Convergence Rates for Neural Operators cites this paper.

Optimal Convergence Rates for Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T05:34:06.616255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:34:06.616255Z digest=sha256:51cb1be5a18486db6d357b651d54637cdd5df9f4e05f8d23bec82c9294fd3744

Observation 20a784f1-0a96-4786-83c0-c54f846d9023 · inbound

Multi-label Classification using Deep Multi-order Context-aware Kernel Networks cites this paper.

Multi-label Classification using Deep Multi-order Context-aware Kernel Networks Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-11T00:22:24.672537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T00:22:24.672537Z digest=sha256:1fd50fd3e5123805ce9c58951711f486cd40b5350fd521cd8c7785ebf4746f25

Observation a4760de5-06a1-4652-aad6-fe16dc3279e7 · inbound

Image Classification with Deep Reinforcement Active Learning cites this paper.

Image Classification with Deep Reinforcement Active Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-10T23:54:16.317063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:54:16.317063Z digest=sha256:fa410adcaff9e8bc506c571725aad2f1bb541897f7488a54ea0cfe7f74677096

Observation 8c8984f7-bb3a-4736-a7cc-fc8c8f75f268 · inbound

Orthogonal greedy algorithm for linear operator learning with shallow neural network cites this paper.

Orthogonal greedy algorithm for linear operator learning with shallow neural network Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 36

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source=pdf_text observed=2026-08-10T22:11:14.784448Z digest=sha256:a9e62df28019107cf105b8fbf9d43aa9b4ac1444356f3fabf91d2586cbb4b1a4

Observation 59edd735-d710-49c3-9ef6-f514c26e46f2 · inbound

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients cites this paper.

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 28

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source=arxiv_source observed=2026-08-10T17:51:51.181780Z digest=sha256:f387a9529c1a0fd5e370a307e1e3ad565d0f3daae9847ebf22f3434f7a3f8c3b

Observation 51a6a0c1-6350-48cc-9167-358f0e9dfade · inbound

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks cites this paper.

AirRadar: Inferring Nationwide Air Quality in China with Deep Neural Networks Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 52

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no resolver link, observed 2026-08-10T16:43:29.525021Z

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source=arxiv_source observed=2026-08-10T16:43:29.525021Z digest=sha256:a3cd5861c7b7173611ededdbf57ea61e0dfec1396df9ccc9fa80c78382103cad

Observation 41a4e052-a442-45c2-9b5f-e945f00c010d · inbound

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks cites this paper.

Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 46

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no resolver link, observed 2026-08-10T16:21:36.025522Z

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source=pdf_text observed=2026-08-10T16:21:36.025522Z digest=sha256:95d51f273308d9f0769e0c20cfe940a73996e7ded29b466a3bba336f45255fff

Observation eab1a741-757b-4c2b-9063-e172a35af398 · inbound

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries cites this paper.

Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 76

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source=pdf_text observed=2026-08-10T15:12:46.285716Z digest=sha256:ced0c4920ddc9e276538e23247b2ce5b2377333981cbd2351aa16a503ad54dee

Observation b91d5ed5-de7e-4044-89f8-415f5f7ef428 · inbound

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows cites this paper.

Multi-Fidelity Machine Learning Applied to Steady Fluid Flows Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 21

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no resolver link, observed 2026-08-10T14:59:44.855680Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:59:44.855680Z digest=sha256:d6a271929453b3688470430e5148f5eb4913165e6bb2f4aa2156bd9e1dc44a65

Observation 0cf28074-596a-4354-bfb7-0eb583fe8456 · inbound

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils cites this paper.

Graph Transformers for inverse physics: reconstructing flows around arbitrary 2D airfoils Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 40

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no resolver link, observed 2026-08-10T04:53:37.062994Z

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source=pdf_text observed=2026-08-10T04:53:37.062994Z digest=sha256:c3278206643a1040e83ec668dc6ca683005c787ea30332959df442484b74e17f

Observation 36423fe2-c0d3-4030-9bef-c311f88f71c6 · inbound

chebgreen: Learning and Interpolating Continuous Empirical Green's Functions from Data cites this paper.

chebgreen: Learning and Interpolating Continuous Empirical Green's Functions from Data Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 20

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no resolver link, observed 2026-08-09T22:51:28.224366Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-09T22:51:28.224366Z digest=sha256:41ccc44899c9933c091e0e6f197d7f3a0f6e44886205acc50b957d66f1a14104

Observation 75c82e93-298c-49b0-930e-a419cd66b455 · inbound

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling cites this paper.

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 14

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no resolver link, observed 2026-08-09T13:05:20.272100Z

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source=pdf_text observed=2026-08-09T13:05:20.272100Z digest=sha256:61f3d2c52f280750b9458de75c2582d523c0f5037ba7661237b8e5024af5dfea

Observation 0290e449-3d5d-4ca4-9af6-abc299055434 · inbound

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries cites this paper.

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 2023

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no resolver link, observed 2026-08-09T12:18:11.272234Z

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source=pdf_text observed=2026-08-09T12:18:11.272234Z digest=sha256:a69f324e3b831170a362d2c9b5009172a5c4d086b23fc1d0c7c1815719d7f594

Observation f3a7bd7a-98e5-4d67-ba78-9ffb3284803b · inbound

Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations cites this paper.

Data-driven Low-rank Approximation for Electron-hole Kernel and Acceleration of Time-dependent GW Calculations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 52

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no resolver link, observed 2026-08-08T18:37:48.698497Z

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source=pdf_text observed=2026-08-08T18:37:48.698497Z digest=sha256:c8c63d2acaaaf8e345fe15c58b0b507324428ffffcee64bd9c68e0a0956169a7

Observation 350b21b8-3fbf-4721-a82e-2e6667c77d86 · inbound

DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling cites this paper.

DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 28

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no resolver link, observed 2026-08-08T16:20:50.931829Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T16:20:50.931829Z digest=sha256:30efc585df4c276dd022f40ad5f884052389bd4a73e9372db6f06e3ed0abc166

Observation 464ef3f5-894b-40c4-8e5d-eed05ce24ec0 · inbound

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence cites this paper.

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 14

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no resolver link, observed 2026-08-08T12:41:56.094608Z

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source=pdf_text observed=2026-08-08T12:41:56.094608Z digest=sha256:21e8e2ab1e2865d2b8097f11745e68c1eadb2c9cf4a1a857af5ef3a3fd973a7a

Observation 048ef137-40a0-4c59-a42b-f7c71e2d26cd · inbound

Phi-FEM-FNO: a new approach to train a Neural Operator as a fast PDE solver for variable geometries cites this paper.

Phi-FEM-FNO: a new approach to train a Neural Operator as a fast PDE solver for variable geometries Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 17

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source=pdf_text observed=2026-08-07T19:43:57.774456Z digest=sha256:01ec3fc37c091a1219f8162cd4b7f8bf9169a7c7f7f8c59c95f7b7bc45e59927

Observation 91ce2f62-82a1-4bc0-acf8-7062dfc98278 · inbound

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements cites this paper.

A physics-guided smoothing method for material modeling with digital image correlation (DIC) measurements Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 14

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source=pdf_text observed=2026-08-07T14:29:47.621274Z digest=sha256:3bdc9be68256df8a7c422045cd4b244aa03173b7be74b34280143beebbb96506

Observation 2ecac242-2da3-4f18-a9d5-1c7ada45bdfb · inbound

Graph-Based Operator Learning from Limited Data on Irregular Domains cites this paper.

Graph-Based Operator Learning from Limited Data on Irregular Domains Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 5

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no resolver link, observed 2026-08-07T14:27:42.689595Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:27:42.689595Z digest=sha256:1dda43cdc37d60387275030bdf6adae18a9a5117e8e4aed92bb7c701e8224885

Observation a88ccce5-a5ac-4df3-8aa9-5f42d7494ecd · inbound

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning cites this paper.

Tokenizing Electron Cloud in Protein-Ligand Interaction Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 37

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no resolver link, observed 2026-08-07T14:26:32.072732Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T14:26:32.072732Z digest=sha256:0768aade82cf5e83d6b14a41a9e56617da6e56d5b6a695510918261e8a58c93a

Observation b8e427cd-fd3b-44c3-9330-96dc113afd7a · inbound

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery cites this paper.

Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 2020

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no resolver link, observed 2026-08-07T13:02:02.883592Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:02:02.883592Z digest=sha256:9824182adc35a123f6201c5de69e6e6514643be846c6713a5ce762d874da6feb

Observation e08c8fd0-140a-4d15-83b8-e8b15dd53546 · inbound

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations cites this paper.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 43

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no resolver link, observed 2026-08-07T12:35:37.974875Z

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source=arxiv_source observed=2026-08-07T12:35:37.974875Z digest=sha256:1b39b850981a0881043d032ae6d8e6bb77c41317ddaf1d313b13a38c48767217

Observation 27a73b3a-a5dd-4629-a4e7-df0555725faa · inbound

PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations cites this paper.

PMNO: A novel physics guided multi-step neural operator predictor for partial differential equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 33

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no resolver link, observed 2026-08-07T11:47:49.987629Z

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source=pdf_text observed=2026-08-07T11:47:49.987629Z digest=sha256:0be3aaada37bebe132bb636bcfa887394c6fab9b1118a7491af2915a31a7d910

Observation 765e4d3e-e229-4f8e-a033-57fb6a2baf7d · inbound

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids cites this paper.

LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 32

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no resolver link, observed 2026-08-07T06:05:53.378844Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T06:05:53.378844Z digest=sha256:c1bff244f84c223462d05c66f83bec5fa909c00c922bfb52b3359fe8a4cd20c0

Observation c8b72a78-7f4f-4f29-bbe0-8af248aa5cf2 · inbound

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling cites this paper.

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 49

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local_arxiv, observed 2026-05-19T10:22:14.698946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T10:17:34.190090Z digest=sha256:5787707459616c9f5d29d11ec9f31d2a20f0ad84ecd0723cbb412a268f4b41ff

Observation 3a2acf98-0098-47dc-8a73-ad598f033174 · inbound

History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials cites this paper.

History-Aware Neural Operator: Robust Data-Driven Constitutive Modeling of Path-Dependent Materials Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 44

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no resolver link, observed 2026-08-07T04:33:45.467387Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:33:45.467387Z digest=sha256:f7897cffcef145fbfc3608da4ebec1c05c3d7f013a9a0247cc109043f18864c8

Observation 14683edc-eb1a-4537-9a29-452c18c610f1 · inbound

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning cites this paper.

Principled Approaches for Extending Neural Architectures to Function Spaces for Operator Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 64

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no resolver link, observed 2026-08-07T04:19:42.568678Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T04:19:42.568678Z digest=sha256:02cf5197e4bf730fcc5e4d57e40e23040d179012d5aa18ff027c7dd0e5243152

Observation 18efbb18-e0e8-4d53-8298-d3c66279c188 · inbound

Fusion of multi-source precipitation records via coordinate-based generative model cites this paper.

Fusion of multi-source precipitation records via coordinate-based generative model Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 64

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no resolver link, observed 2026-08-07T04:07:50.783412Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T04:07:50.783412Z digest=sha256:b0622991406eacb076a3a33837dd6e96f761672683a83cc0f9f9dba83ab0819e

Observation 4bb26b35-08bb-4952-b087-9c44cd50c5de · inbound

From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences cites this paper.

From Proxies to Fields: Spatiotemporal Reconstruction of Global Radiation from Sparse Sensor Sequences Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 28

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no resolver link, observed 2026-08-07T14:29:48.205741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:29:48.205741Z digest=sha256:1f2830c866a1439d1fa4eb88321c0a2a2f90ddfa606de375b16f2fc808306197

Observation 2a224aad-301d-4364-85d4-ec835e3f44ee · inbound

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling cites this paper.

PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 32

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source=pdf_text observed=2026-08-07T00:48:16.457876Z digest=sha256:e9b9146ce5edae1dd5479462d769590841cfe3d87b291acf98f0d6da257b1671

Observation c3a8eaf3-7a96-461f-ab7d-79aea7ad6fab · inbound

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations cites this paper.

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 22

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no resolver link, observed 2026-08-07T00:29:33.094158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:29:33.094158Z digest=sha256:8767868ca896eaa0ff9887785f5edf0f181a982d1cdb719b6fa2347354122ad0

Observation b60ca831-241a-44cf-bd5a-c99e7c5a759e · inbound

LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs cites this paper.

LFR-PINO: A Layered Fourier Reduced Physics-Informed Neural Operator for Parametric PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 21

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no resolver link, observed 2026-08-06T23:36:17.784738Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T23:36:17.784738Z digest=sha256:8ecf977a17d9134fec0193333be936f58ea46e27f2d831e982f9d26a072e789e

Observation ef86ae65-088f-4abe-9779-fdec0229534e · inbound

A Neural Operator based on Dynamic Mode Decomposition cites this paper.

A Neural Operator based on Dynamic Mode Decomposition Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 7

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no resolver link, observed 2026-08-06T21:08:14.507053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:08:14.507053Z digest=sha256:8df96ff9bd758c4ba5adf0346998f41589b4d8633905cda7e1f6084debdf2f9c

Observation 8628f2c4-4b2a-4d55-ba9c-bcc5db9f97c9 · inbound

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction cites this paper.

The Fourier Spectral Transformer Networks For Efficient and Generalizable Nonlinear PDEs Prediction Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 9

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no resolver link, observed 2026-08-06T19:27:46.635789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:27:46.635789Z digest=sha256:36a41a2367d6c9de3d39fae562343e6190ee80f715f0282437f381f1ec271f9d

Observation 043ce268-2a4d-482e-a241-f6e72fda6a6a · inbound

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation cites this paper.

HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 35

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no resolver link, observed 2026-08-06T18:34:36.387291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:34:36.387291Z digest=sha256:775182dcc6228c00c2d52b15f2327b863d08b879665cabcf6e3bb574f93b6e12

Observation a5308250-79f1-4b37-9b20-32d4221f8350 · inbound

Geometric Generative Modeling with Noise-Conditioned Graph Networks cites this paper.

Geometric Generative Modeling with Noise-Conditioned Graph Networks Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 17

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no resolver link, observed 2026-08-06T18:08:44.931691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:08:44.931691Z digest=sha256:6612b34aa36955530c863954c4f59ac82a48973151c173e734930f9f59ef9d26

Observation 38d23791-3928-468e-b279-ba399e99fbe2 · inbound

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting cites this paper.

NeuTSFlow: Modeling Continuous Functions Behind Time Series Forecasting Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 12

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no resolver link, observed 2026-08-06T17:51:20.323482Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T17:51:20.323482Z digest=sha256:a7fc06dd5fe0d06df827849a69fa49390e9b64c1eab829c6dc841383449697e4

Observation 96c14388-33a4-4bc5-83b0-61cf24f0c2ac · inbound

Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators cites this paper.

Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 8

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no resolver link, observed 2026-08-06T17:25:42.532107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:25:42.532107Z digest=sha256:bc52ea164eb7fd24db85a9f344f42bc9d34550e48334224e722542c96564b841

Observation 0250b1b1-32da-4e3f-b68a-260191cef925 · inbound

DPNO: A Dual Path Architecture For Neural Operator cites this paper.

DPNO: A Dual Path Architecture For Neural Operator Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 5

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no resolver link, observed 2026-08-06T16:44:51.636637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:44:51.636637Z digest=sha256:854cafff6932406ce2e59eecb2b99dcb0d36ec6cebf65dd720e61dc3e7c93b18

Observation b6ff017a-c189-4071-a9b9-561fb8aed926 · inbound

OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography cites this paper.

OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 2

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no resolver link, observed 2026-08-06T15:47:30.385994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:47:30.385994Z digest=sha256:e10553abd7681b6ee7ff89142f581d5224560f5131f4fa20c1d69b6d2f7d8ee9

Observation 39c58068-25ed-4dbc-b1dd-8c899a8dba25 · inbound

Iterative Born Solver for the Acoustic Helmholtz Equation with Heterogeneous Sound Speed and Density cites this paper.

Iterative Born Solver for the Acoustic Helmholtz Equation with Heterogeneous Sound Speed and Density Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 27

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no resolver link, observed 2026-08-06T15:25:38.032844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:25:38.032844Z digest=sha256:fa144a2ceabab8fe37db8da73a96d2f63e1e2ac9ea97a46b2230167318345fcb

Observation abf3a23d-9d0d-477a-8a5b-398726661931 · inbound

An effective physics-informed neural operator framework for predicting wavefields cites this paper.

An effective physics-informed neural operator framework for predicting wavefields Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 17

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source=arxiv_source observed=2026-08-06T15:16:22.031441Z digest=sha256:0ef6d0df1175aa32be959ad37bcc19fd03804b9eb5667eebf9217d194de20b43

Observation d142c538-d332-4a79-b37f-b5a298219981 · inbound

A Learning-based Domain Decomposition Method cites this paper.

A Learning-based Domain Decomposition Method Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 15

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source=pdf_text observed=2026-08-06T14:57:34.945336Z digest=sha256:18644627eaf3612bfcfd1e1bd51d72ed369100bb1d45508dd69ebaff6071d297

Observation dd1d135d-bed9-49e0-bbc1-9318e5412055 · inbound

Multi-Head Neural Operator for Modelling Interfacial Dynamics cites this paper.

Multi-Head Neural Operator for Modelling Interfacial Dynamics Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 60

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source=pdf_text observed=2026-08-06T19:04:46.302335Z digest=sha256:26fdea678429bae39d1ef3f4e4bb3f7d9ee73be37fb37e1271f0c7b2ed6832f8

Observation 2555e45a-0e8e-4dd2-a65f-fbb3e4354222 · inbound

Fourier Neural Operators for Non-Markovian Processes:Approximation Theorems and Experiments cites this paper.

Fourier Neural Operators for Non-Markovian Processes:Approximation Theorems and Experiments Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 19

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source=arxiv_source observed=2026-08-06T14:48:28.207856Z digest=sha256:8ec4072d07d1e75d1cca5ebe86607c0b414c18078efead607d44d7533d0b0775

Observation ef8abbbd-263b-498f-81da-d665cb934314 · inbound

Numerical PDE solvers outperform neural PDE solvers cites this paper.

Numerical PDE solvers outperform neural PDE solvers Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 2020

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source=pdf_text observed=2026-08-06T13:03:53.185377Z digest=sha256:5ad5e8da3f32ca9eaa3ae23daf3a3330e637575c8c4a7cb4f7b0fc1e8c8122df

Observation 2ac9c83a-d839-44cc-8815-380b92e8ea0a · inbound

PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems cites this paper.

PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 47

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local_arxiv, observed 2026-05-19T03:12:00.722861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-19T03:09:22.055541Z digest=sha256:cb50ac549d4b28847090db6a52388042a200910c9c7e0254cf579ab67c72b3bf

Observation 4c17eab3-7acd-47bc-b704-65ca0705b37d · inbound

Hybrid Least Squares/Gradient Descent Methods for DeepONets cites this paper.

Hybrid Least Squares/Gradient Descent Methods for DeepONets Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 21

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source=pdf_text observed=2026-08-05T18:02:31.386164Z digest=sha256:f52a6742a902f080f2c42619a5bd96ff7d5b9370c45f2426c3c89c0573186494

Observation 93aa944f-0b00-4007-a445-1f25877082c2 · inbound

Polynomial Chaos Expansion for Operator Learning cites this paper.

Polynomial Chaos Expansion for Operator Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 6

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source=pdf_text observed=2026-08-05T14:49:19.354564Z digest=sha256:c4e168ba0b03727cd10abd41f3413d434682cf893bf1dd9354c8797c61c50c50

Observation 8bd8771b-96e5-4635-8fdc-8e66840c8edb · inbound

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements cites this paper.

Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 38

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local_arxiv, observed 2026-05-18T19:22:49.304105Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T19:17:13.031769Z digest=sha256:d4cae01994909c6f4eb40547d7ac78823ae592d3f4d78722e019574aea9cfa34

Observation 3e025e80-744b-462a-aee9-d964e1be1d62 · inbound

Mechanistic Interpretability with Sparse Autoencoder Neural Operators cites this paper.

Mechanistic Interpretability with Sparse Autoencoder Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 12

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local_arxiv, observed 2026-05-18T19:01:45.806106Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T18:59:02.109441Z digest=sha256:f1258a9ba691d5f73cb2774b99a0e49ea1bb1dcb5f4f01506b6e78aab4b1ca91

Observation 8c43675e-65ae-4e7e-a460-4789cecd8096 · inbound

Error analysis for learning the time-stepping operator of evolutionary PDEs cites this paper.

Error analysis for learning the time-stepping operator of evolutionary PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 46

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source=pdf_text observed=2026-08-05T10:24:35.821449Z digest=sha256:521454658ab5132495a333d90fac3836da43e3e18f028a83abc07c731eb67ee1

Observation 672daea0-b871-4fcb-99a5-8b03c0b0c5ed · inbound

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions cites this paper.

Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 26

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source=pdf_text observed=2026-08-05T05:32:21.724002Z digest=sha256:9e1e9640b20c79bab8c6b759eddc9a4d1f8ba0ae90c794a15f278e480a64aceb

Observation f52e7f2d-4f4b-416a-8348-2cfb9b021d7f · inbound

Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth cites this paper.

Fourier Neural Operators for Time-Periodic Quantum Systems: Learning Floquet Hamiltonians, Observable Dynamics, and Operator Growth Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 39

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source=pdf_text observed=2026-08-04T22:56:16.132059Z digest=sha256:45657f56aaf3be54c2dd40ae19c1a942b92ee394ba599c49c3f0e3f53ea502d1

Observation 82185c4a-e13f-4797-b3c2-be31ac7e29c7 · inbound

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning cites this paper.

FEDONet : Fourier-Embedded DeepONet for Spectrally Accurate Operator Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 16

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local_arxiv, observed 2026-05-18T16:06:35.177017Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T16:03:36.833056Z digest=sha256:d72dcba6740587130d6ffcc81488916a43ba52f074e62fe2bd7aab79f969154c

Observation fae126f7-f4dc-4589-9c9d-3f981340a273 · inbound

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations cites this paper.

GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 32

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source=arxiv_source observed=2026-08-04T11:03:16.763377Z digest=sha256:0048b88678ae45c554c2aacdb68fbd5e509e052df9dd6a2656300f1c09f962ea

Observation 39655ed3-90c5-4bde-be61-46a5b6f5b579 · inbound

NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers cites this paper.

NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 21

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local_arxiv, observed 2026-05-18T01:35:36.344290Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-18T01:34:40.453715Z digest=sha256:1c27a39786449f3524021412b472344ccd6308e624b73a6afecc1e70f63e5861

Observation c079803e-409d-4600-8e7d-c9777d3f69dd · inbound

Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients cites this paper.

Walsh-Hadamard Neural Operators for Solving PDEs with Discontinuous Coefficients Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 18

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local_arxiv, observed 2026-05-21T19:20:30.956824Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T19:18:31.128128Z digest=sha256:08e5107d0cff68484bd771e6a1f87da8ffd5c44627a7275ffbad6451ca5c1e1d

Observation 860b98a4-5eb7-4aba-9e7e-fc3168f8849b · inbound

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade cites this paper.

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 50

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source=pdf_text observed=2026-08-03T19:13:47.409470Z digest=sha256:67b2cc69d93f3ba8dab0859b1c41e98d507371e021750577a509e3c495f487df

Observation d9ea03fd-2e0c-4e46-b720-f32da67d6484 · inbound

Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation cites this paper.

Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 20

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source=pdf_text observed=2026-08-03T17:33:52.394065Z digest=sha256:df2026fbb17f8aaa67b465add32f8e1fdc2de34f0f8a6153ad8112d92a76f6a6

Observation f7b02b74-40c0-4f39-ae83-734462548471 · inbound

Integrating Fourier Neural Operator with Diffusion Model for Autoregressive Predictions of Three-dimensional Turbulence cites this paper.

Integrating Fourier Neural Operator with Diffusion Model for Autoregressive Predictions of Three-dimensional Turbulence Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 89

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source=pdf_text observed=2026-08-03T16:37:40.997172Z digest=sha256:f13d724fa7d3c38103e01b3e95911ee86b7b1cb2c348c72da5d98f81a9ec78db

Observation 535db81c-d454-42bc-9ab8-ec65eb608ecb · inbound

Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator cites this paper.

Parameter-Efficient Transfer Learning for Microseismic Phase Picking Using a Neural Operator Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 15

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local_arxiv, observed 2026-05-16T22:28:37.062996Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T22:26:37.244214Z digest=sha256:47075a5c010b32a38b69c35b20c5f77461e1d02766d8b941e440564ac690ddcd

Observation 2f5aee26-bef3-4a77-bc1a-fc65ef807fd2 · inbound

GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer cites this paper.

GeoTransolver: Learning Physics on Irregular Domains Using Multi-scale Geometry Aware Physics Attention Transformer Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 18

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source=pdf_text observed=2026-08-03T14:27:29.984386Z digest=sha256:7c1a60422be7f1fad4a7adb959ba020746115d643aeddf153a15ac94da09fbfe

Observation 8c123ac7-bc11-4a1c-a9c8-93201dbe250b · inbound

PGOT: A Physics-Geometry Operator Transformer for Complex PDEs cites this paper.

PGOT: A Physics-Geometry Operator Transformer for Complex PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 12

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local_arxiv, observed 2026-05-16T20:01:13.192772Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T19:59:53.806817Z digest=sha256:8477894ab4f42ff2e1d6853c474bf3b6adcf6395c4b0d9fa6dfb4b08f10ddea2

Observation 6d76c84f-de15-424e-86e4-331e765fc20d · inbound

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs cites this paper.

Latent Dynamics Graph Convolutional Networks for model order reduction of parameterized time-dependent PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 52

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source=pdf_text observed=2026-08-03T10:12:37.043505Z digest=sha256:c272ede0ad9d7ca7d327fc9c8f6ddb3355916bfc56cb6e68b54e058fd4bbf552

Observation 56cd31a6-6d53-4667-aab8-f7fd4cf48d02 · inbound

SFO: Learning PDE Operators via Spectral Filtering cites this paper.

SFO: Learning PDE Operators via Spectral Filtering Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 2021

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source=pdf_text observed=2026-08-03T08:36:45.744358Z digest=sha256:72fc79aefb8ed4e447775c71775300bdc1c0d57919443e7f5243657539edc088

Observation 605a3d0e-7aaa-4466-a08e-8fc36ce60c89 · inbound

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs cites this paper.

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 12

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source=pdf_text observed=2026-08-03T05:22:12.012512Z digest=sha256:585591961ba5c5d259776dda7e7d4126632f463aa2577292e1534cf235cf1007

Observation b22703ea-2040-418c-b68f-d7ccce765298 · inbound

Deep learning accelerated solutions of incompressible Navier-Stokes equations on non-uniform Cartesian grids cites this paper.

Deep learning accelerated solutions of incompressible Navier-Stokes equations on non-uniform Cartesian grids Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 32

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no resolver link, observed 2026-07-13T14:13:15.515107Z

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source=pdf_text observed=2026-07-13T14:13:15.515107Z digest=sha256:be555423f9888426687a93b8ed9a6c8ac8a7cb2a6e1383c69d67736cbb6d39fc

Observation 1ee7b464-78a9-46c9-a316-b4db2a1319b5 · inbound

A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems cites this paper.

A Multimodal Vision Transformer-based Modeling Framework for Prediction of Fluid Flows in Energy Systems Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 2

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T20:28:42.939510Z digest=sha256:dfedcdfcdb057d790b7f8f325162307e464187730fdc8a5fedec72c460d2eeb1

Observation 912aea31-3090-4eaa-817a-2920b8703af1 · inbound

Multiscale Physics-Informed Neural Network for Complex Fluid Flows with Long-Range Dependencies cites this paper.

Multiscale Physics-Informed Neural Network for Complex Fluid Flows with Long-Range Dependencies Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 23

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T19:13:18.894727Z digest=sha256:32f15cd6f44783708c242bb5784b475101d89cc3c036c327dbf079477c096fd8

Observation 84129b13-a70f-4ce1-b9f0-484ce6087547 · inbound

Learning on the Temporal Tangent Bundle for Physics-Informed Neural Networks cites this paper.

Learning on the Temporal Tangent Bundle for Physics-Informed Neural Networks Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 22

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T15:17:17.528191Z digest=sha256:b6c617b451db71be3aef7990ec4554c9916250380165562f2da9355406f5f59c

Observation ef3e3580-d673-48b4-af9a-198aff386ebf · inbound

Shape: A Self-Supervised 3D Geometry Foundation Model for Industrial CAD Analysis cites this paper.

Shape: A Self-Supervised 3D Geometry Foundation Model for Industrial CAD Analysis Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 21

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T06:16:07.777453Z digest=sha256:fceb8eddf2626687f80fe4084380e3f09b532a2ebd6404131c2450d723e9f026

Observation 08f91f62-68b6-4153-bbd7-44657d85cf0b · inbound

Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators cites this paper.

Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 4

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T01:59:37.032484Z digest=sha256:f1b38b4e4cd8f51102aa9be7f7f1e64bd07ea33167ac736325b5e0c4b5790301

Observation edbb9fe5-1233-45b1-8544-57a48bf0a39c · inbound

Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators cites this paper.

Multi-scale Dynamic Wake Modeling and Prediction of Floating Offshore Wind Turbines via Physics-Informed Neural Networks and Fourier Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 4

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local_arxiv, observed 2026-05-21T09:09:56.057388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T09:09:25.611578Z digest=sha256:62117cca293cf6383f5bb12afc455769ebcec06b9484d6a74deb8b09f4c6e585

Observation 2c9b21f4-9cf7-4dc9-b681-360dc48f2c72 · inbound

Learning Neural Operator Surrogates for the Black Hole Accretion Code cites this paper.

Learning Neural Operator Surrogates for the Black Hole Accretion Code Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 30

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T15:28:38.494462Z digest=sha256:413e051095795db67b3eeabb567a6decf86ec70b6ed4c17616baebb204464a33

Observation 964c91b0-4c58-461b-9b75-f1032cbcc7ca · inbound

Hybrid Fourier Neural Operator-Lattice Boltzmann Method cites this paper.

Hybrid Fourier Neural Operator-Lattice Boltzmann Method Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 8

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T08:13:46.567661Z digest=sha256:f12e7c2c61c5bb3d7ffe1c24081f24f9a71cc05e70778dba3d49bb7c3e990985

Observation 8aa3807e-3ee4-4f7c-963f-ed6268ca8981 · inbound

Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators cites this paper.

Enabling Real-Time Training of a Wildfire-to-Smoke Map with Multilinear Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 52

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T17:50:21.494867Z digest=sha256:0b3470a9dc875dbcac6354d6fddf4a570d6841c01cda7a1846bdd052c016bd57

Observation 70e49c08-9565-4a34-bb41-b2ffc1356b79 · inbound

Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations cites this paper.

Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 11

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arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T17:05:03.218366Z digest=sha256:e56c03550dc61edcfdde39beb26411bbb182a4b1661867e4994c59c91006d419

Observation f3ce5d97-1de2-46f0-94af-5ff296ef6179 · inbound

Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations cites this paper.

Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 11

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malformed identifier
local_arxiv, observed 2026-07-01T00:15:09.195264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T00:11:34.739203Z digest=sha256:de6bf541ce788b2a3ab33f6834fe5e5ee773cbf4ec106f97b59f769bf299e312

Observation 46fadef4-4352-4073-82bc-1e04f545f500 · inbound

Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations cites this paper.

Hybrid Iterative Neural Low-Regularity Integrator for Nonlinear Dispersive Equations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 11

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malformed identifier
local_arxiv, observed 2026-07-01T07:55:31.613038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-01T07:44:54.316936Z digest=sha256:af244a94efc9e6e4afe72f6938a8fc5ec17d0e6d045e821a4fc74780eda6425f

Observation e3e741e0-8177-46ba-9bde-dc976d5770e6 · inbound

Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems cites this paper.

Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T17:23:24.715926Z digest=sha256:70f1068ce64531f75b6cc15094d840bf378b24b5ddc033edf41555e189694ba3

Observation ad447a3f-2409-4afd-841c-9b03f008689e · inbound

QuadNorm: Resolution-Robust Normalization for Neural Operators cites this paper.

QuadNorm: Resolution-Robust Normalization for Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T01:58:29.827704Z digest=sha256:632d8beb40466ecdd4ec3a71aacba2c8be882ae08edc8695c330f98d012c11b1

Observation e33c4629-6119-4936-808c-7b7fcd0b1260 · inbound

Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints cites this paper.

Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T01:51:32.183029Z digest=sha256:eb26c969c5f0f33a2650dacbcbedd225105283902a743d8c6da799d27d8ba3f1

Observation 7d3826b2-290e-4346-bf90-ed4d1ab313eb · inbound

A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds cites this paper.

A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T02:09:01.875110Z digest=sha256:3ca7c591843451d08f8ebd49634fef4b90849e5ad8df95aa5256664d6e1f1302

Observation a9d1273d-34b3-4a01-a17e-d9c26f9c04b2 · inbound

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency cites this paper.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T03:55:32.973708Z digest=sha256:9cedbec102c92adf6515718367d2bfe14b285424e3f140182700a4849ba06698

Observation 354c19fb-490b-4cb0-b9fd-513ee03485dd · inbound

Continuity Laws for Sequential Models cites this paper.

Continuity Laws for Sequential Models Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T01:32:13.445719Z digest=sha256:f7b500d1d3e4fd988f33b802b7de392914633e121bdd8dc8b77bbb5c56d847ce

Observation 8d2a5a4b-a7a4-4312-a31c-8f50dafe5403 · inbound

Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework cites this paper.

Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T02:06:52.294444Z digest=sha256:0e968a305f79761fb5b2011fd835ffbe8f7f9e8a60cad55769dbc7a9610f66e7

Observation 777a5558-8c76-4cd9-ba33-3e29ffba8c47 · inbound

Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale cites this paper.

Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T06:26:31.190963Z digest=sha256:7c0d3abb9ab01fa03510c3966158442db8b70f02227a09b7fa322a28f15aa8dd

Observation 7162bb0a-9ad2-4904-bb16-0ca276fc7983 · inbound

U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics cites this paper.

U-HNO: A U-shaped Hybrid Neural Operator with Sparse-Point Adaptive Routing for Non-stationary PDE Dynamics Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T20:31:02.246184Z digest=sha256:78d2c12ce965dbb303845f41e2ed40bff24a4249292c80a88109e7c206f90943

Observation 258f4065-d0fd-408a-bd1c-2ff2cd349efe · inbound

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations cites this paper.

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:17:49.535762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-14T19:06:18.193097Z digest=sha256:6e32eed763a8cf3c09c4049a688ee2408f4239a5ec3180adc92be5af9e7d2e8c

Observation 95e6a084-5172-4aab-a747-6f2cd450a4c1 · inbound

Topology-Preserving Neural Operator Learning via Hodge Decomposition cites this paper.

Topology-Preserving Neural Operator Learning via Hodge Decomposition Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-06-30T21:45:05.606981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-30T21:43:50.425136Z digest=sha256:2111a17002ac0c43b56c561c002e822d43a930dd7dc7a220bb10753449b48065

Observation d9c4eb23-13e4-4efb-94ae-70209dc2e0c7 · inbound

Flow Field Reconstruction with Sensor Placement Policy Learning cites this paper.

Flow Field Reconstruction with Sensor Placement Policy Learning Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-15T01:59:38.708483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T01:59:27.224700Z digest=sha256:46fe02ef0cfe1b4c5fe1e48f018f729e68e7de72ce7305f13da33ce291c45f9d

Observation 69f657b6-6458-468d-8b0c-07fb66426cff · inbound

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts cites this paper.

Discovering Physical Directions in Weight Space: Composing Neural PDE Experts Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:08:29.779283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-15T02:03:50.528627Z digest=sha256:9d1a6cfb8b230dd52bae552a45fa9a2bb7036b23d9cb8422b74267a365a43ddf