Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-14T22:17:48.826690Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-14T22:17:48.826690Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T06:07:25.492570Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
100 of 141 outbound references displayed
External citation measurements
154
pith, observed 2026-08-05T02:28:24.338817Z
Observation 9bca560e-aa5b-4a86-997b-d5ed8c8a90c0 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations G., Bader, B
Reference 1
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.
Observation 9980f257-c799-46f4-8fa0-9355cb3eb535 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Hsu and Sham M
Reference 2
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.
Observation 93365c6b-548f-4005-b100-f9d88d831678 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations V
Reference 3
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.
Observation 9c006110-6e8a-485b-a009-9df56464d58e · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Fast adaptive interpolation of multi-dimensional arrays in tensor train format , isbn =
Reference 4
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.
Observation 632c4f5e-7ad7-4e27-9fd2-b0fc2ae47cc9 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Gorodetsky and Sertac Karaman and Youssef M
Reference 5
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.
Observation 866a9431-588c-4197-847a-c92ba9d78f72 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Spectral Tensor-Train Decomposition , journal =
Reference 6
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.
Observation 5d4e5f44-427e-46cd-9d30-6d022a10467a · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =
Reference 7
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.
Observation ddf78476-540c-4517-8691-f0be06b52fdc · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations and Tyrtyshnikov, Eugene E
Reference 8
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.
Observation 66625c99-0959-4141-b182-e30a8e35946b · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work
Reference 9
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.
Observation f0e91583-ce95-4e09-85e6-44a3aea2099f · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Finite element method --- Wikipedia , The Free Encyclopedia
Reference 10
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.
Observation ef90b73e-3404-4ce0-b769-89316fe7dfce · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations CoRR , volume =
Reference 11
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.
Observation c5ada4fe-00d2-4d42-8704-03bcf79edcfb · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =
Reference 12
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.
Observation 24af36c8-dc7b-467f-893d-4838a4a25499 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Gerstner and M
Reference 13
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.
Observation eb209ab4-2313-4ccf-94ca-95707e07fcd0 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Constructive Approximation , volume=
Reference 14
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.
Observation edf4aaf3-99bd-41e7-91e5-1c8dadc8f5e5 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Chemometrics and Intelligent Laboratory Systems , volume=
Reference 15
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.
Observation c8b2f401-4e93-43c1-8721-580c1fcc0294 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Numerische Mathematik , volume=
Reference 16
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.
Observation c36a7186-d911-4084-9539-adb1dc419817 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in Computational Mathematics , volume=
Reference 17
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.
Observation 81586138-681d-4ef7-aa93-a202f86b66a0 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =
Reference 18
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.
Observation 605872ce-71b8-4e51-8077-97c51e9fa2c7 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2016 , url =
Reference 19
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.
Observation de51dbe9-9f54-4c62-a118-0f805f51ba37 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Explicit and implicit methods --- Wikipedia , The Free Encyclopedia
Reference 20
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.
Observation a7abf154-db74-482a-aae3-3845388de1fe · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work
Reference 21
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.
Observation f62fbad2-256b-4157-8fde-189f7af739c2 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations ArXiv e-prints , archivePrefix = "arXiv", eprint =
Reference 22
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.
Observation cfa0eb91-74ba-47ec-9a0b-4afa367a05da · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Approximation of 2\^
Reference 23
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.
Observation 41d1d9f3-9577-4dd7-9a93-68f7ba987608 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Conference on Uncertainty Qualification , year=
Reference 24
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.
Observation 405893ce-7a43-4327-9b54-101683ccedcb · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Foundations of Computational Mathematics , volume=
Reference 25
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.
Observation f5387639-7281-4f72-a300-11d8b057ad10 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Linear Algebra and its Applications , volume=
Reference 26
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.
Observation a7fc2703-3922-46ba-8566-f121fbdf4a8f · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations A hybrid Alternating Least Squares -- TT Cross algorithm for parametric PDEs
Reference 27
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.
Observation b322bbb4-4caa-4736-b802-98ab7e0e3d30 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Computational Methods in Applied Mathematics Comput
Reference 28
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.
Observation 3d30c01f-20f5-4324-a8b8-7ca0628b7f19 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Artificial Intelligence and Statistics , pages=
Reference 29
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.
Observation 28a30d80-7ae1-4bc7-9aeb-d5461330065c · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in neural information processing systems , pages=
Reference 30
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.
Observation 2feac342-8202-47ab-9834-79b7f0bbb70f · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations International Conference on Machine Learning , pages=
Reference 31
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.
Observation 586622ed-287d-46e3-b8c9-fd7c1c854373 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
Reference 32
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.
Observation 5a0bddde-8ad1-49e3-8c9d-4d6723996937 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2012 , school=
Reference 33
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.
Observation c1eb66a8-e91d-4945-a241-adaba872cced · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Artificial Intelligence and Statistics , pages=
Reference 34
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.
Observation b203ad1f-3264-4484-ad80-547d23c4582a · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations The FEniCS Project Version 1.5
Reference 35
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.
Observation 0bcd64f1-2c96-4bc1-bd6e-03970895cf20 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations IEEE Transactions on Cybernetics , year=
Reference 36
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.
Observation 174638b4-0c40-4dbf-86ad-3335bd9fb3a8 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Journal on Matrix Analysis and Applications , volume=
Reference 37
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.
Observation ab373eb0-353d-4dbb-8985-fd4b934c110d · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Computing , volume=
Reference 38
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.
Observation 6d512538-44f3-43dc-b0b2-440836743280 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Journal on Scientific Computing , volume=
Reference 39
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.
Observation ae071056-081b-473b-87e0-2f854e8aa66a · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations SIAM Journal on Scientific Computing , volume=
Reference 40
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.
Observation e672a5d0-49dc-4cdf-b7b6-b18dfbc4d289 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Analysis and Design of Convolutional Networks via Hierarchical Tensor Decompositions
Reference 41
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.
Observation 32ac23c5-60e0-4ba5-a646-12f8e3a5fea4 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Conference on Learning Theory , pages=
Reference 42
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.
Observation c8fa4549-bd61-44f2-a8ad-4a7e30ce4de2 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations International Conference on Machine Learning , pages=
Reference 43
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.
Observation c4bcc166-e5d7-42bf-b035-1c66f18dc389 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Very Deep Convolutional Networks for Large-Scale Image Recognition
Reference 44
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.
Observation ef55adf4-fee9-4518-b3fb-a18dbc606614 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Entanglement and tensor network states
Reference 45
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.
Observation 56cc4eda-c4d2-41b3-865c-199b08638a29 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Physical review letters , volume=
Reference 46
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.
Observation 7df0f728-b39f-4c96-8e5f-e9067eafd554 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz
Reference 47
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.
Observation 875f63cf-f57b-475e-a356-09cfe43f9a2a · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Journal of Physics A: Mathematical and Theoretical , volume=
Reference 48
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.
Observation 6243ad60-af75-4bf0-b7ac-467ad7959a71 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Physical review letters , volume=
Reference 49
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.
Observation 37b12515-646b-40c4-a31c-8faf1e6a360c · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Unresolved cited work
Reference 50
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.
Observation 9033f4ea-9ec5-4994-9c60-f53125dcd869 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations CoRR , volume =
Reference 51
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.
Observation 0a4d390f-15f0-45e9-ba39-6ce0f46964f1 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations IEEE transactions on neural networks , volume=
Reference 52
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.
Observation 49ef4c6c-083d-480c-b675-2ca269862dd5 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Learning Neural
Reference 53
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.
Observation 852f5d6a-3238-46ee-8b09-aa66168d72ce · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Journal of Computational Physics , volume=
Reference 54
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.
Observation a6404ef2-9784-4142-abbe-89eee49f0ddd · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 36th International Conference on Machine Learning , year =
Reference 55
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.
Observation 255ff83a-c73b-43bd-9a36-3be3417bcb54 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=
Reference 57
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.
Observation 2f3f3fc5-6e20-4ab9-bd87-421b3ed5a850 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Gated Graph Sequence Neural Networks
Reference 58
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.
Observation 56897145-54d8-4545-b9d2-892548ab9c42 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in neural information processing systems , pages=
Reference 59
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.
Observation 1906b8f6-709f-4461-94ce-df537efbe000 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Advances in neural information processing systems , pages=
Reference 60
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.
Observation 58814368-9987-4ce9-a954-2126b6c80d31 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations A multiscale neural network based on hierarchical matrices
Reference 61
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.
Observation 652eb567-b038-4c07-a12c-f1d366c9aa78 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Chemistry of Materials , volume=
Reference 62
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.
Observation 16ef1c5f-651d-40ac-8fe4-f5dbcb0bb1a6 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Journal of Computational Physics , volume=
Reference 63
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.
Observation f42d79c5-17f8-4e91-95af-e0a1255e7e54 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Dynamic Graph CNN for Learning on Point Clouds
Reference 64
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.
Observation 99e02a96-5806-40c2-bf03-b301d9fa68af · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations AIAA Aviation 2019 Forum , pages=
Reference 65
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.
Observation 6d07486f-973a-4efb-9ecd-aac220e517fd · outbound
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
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.
Observation 61d453e2-72b3-4739-9ee9-def53684d147 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Computational Mechanics , pages=
Reference 67
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.
Observation ff3ce07e-4431-4b17-9cf7-a35413d92ea5 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Graph U-Nets
Reference 68
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.
Observation eba1c5eb-0d24-46c7-b43f-6bbe8cf8793d · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Proceedings of the 34th International Conference on Machine Learning , year=
Reference 70
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.
Observation 766621a7-11ae-4704-ad2a-099339bca0b8 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 1982 , publisher=
Reference 71
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.
Observation 2a228f1d-f482-4575-9cea-1684208efca1 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2012 , publisher=
Reference 72
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.
Observation cb07403b-5b0b-4257-8958-af47edce6e88 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Acta Mathematica , year=
Reference 73
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.
Observation 1ebfa253-0383-4167-9447-7b8c30f0bfc3 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations Spectral partitioning with indefinite kernels using the Nystr
Reference 74
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.
Observation abf729a7-2f31-4d42-b40b-423e790c7a2f · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2012 , publisher=
Reference 75
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.
Observation 1b12a00f-838a-4400-acb8-9eca5046d323 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2005 , publisher=
Reference 76
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.
Observation ae9315b2-456e-4212-b407-12a2e8f7758f · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2010 , publisher=
Reference 77
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.
Observation 0231029a-6715-4133-923a-6afb8555e93e · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2015 , publisher=
Reference 78
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.
Observation f9265b4c-6ec9-4cba-b2cc-fda6a05b5400 · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations The Journal of Machine Learning Research , volume=
Reference 79
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.
Observation 598ba59f-efa2-4889-8fe9-a2cce14ab83d · outbound
Neural Operator: Graph Kernel Network for Partial Differential Equations 2014 , publisher=
Reference 80
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Reference 52
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Tokenizing Electron Cloud in Protein-Ligand Interaction Learning Neural Operator: Graph Kernel Network for Partial Differential Equations
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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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Reference 44
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Reference 64
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Reference 64
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Reference 21
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A Neural Operator based on Dynamic Mode Decomposition Neural Operator: Graph Kernel Network for Partial Differential Equations
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Observation 39c58068-25ed-4dbc-b1dd-8c899a8dba25 · inbound
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Reference 27
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Reference 60
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Reference 2020
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Polynomial Chaos Expansion for Operator Learning Neural Operator: Graph Kernel Network for Partial Differential Equations
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Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions Neural Operator: Graph Kernel Network for Partial Differential Equations
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Observation fae126f7-f4dc-4589-9c9d-3f981340a273 · inbound
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Observation 39655ed3-90c5-4bde-be61-46a5b6f5b579 · inbound
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Observation 860b98a4-5eb7-4aba-9e7e-fc3168f8849b · inbound
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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Observation d9ea03fd-2e0c-4e46-b720-f32da67d6484 · inbound
Spectral Embedding via Chebyshev Bases for Robust DeepONet Approximation Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 20
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Observation f7b02b74-40c0-4f39-ae83-734462548471 · inbound
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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Observation 535db81c-d454-42bc-9ab8-ec65eb608ecb · inbound
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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Observation 2f5aee26-bef3-4a77-bc1a-fc65ef807fd2 · inbound
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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Observation 8c123ac7-bc11-4a1c-a9c8-93201dbe250b · inbound
PGOT: A Physics-Geometry Operator Transformer for Complex PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 12
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Observation 6d76c84f-de15-424e-86e4-331e765fc20d · inbound
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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Observation 56cd31a6-6d53-4667-aab8-f7fd4cf48d02 · inbound
SFO: Learning PDE Operators via Spectral Filtering Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 2021
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Observation 605a3d0e-7aaa-4466-a08e-8fc36ce60c89 · inbound
Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 12
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Observation b22703ea-2040-418c-b68f-d7ccce765298 · inbound
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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Observation 1ee7b464-78a9-46c9-a316-b4db2a1319b5 · inbound
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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Observation 912aea31-3090-4eaa-817a-2920b8703af1 · inbound
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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Observation 84129b13-a70f-4ce1-b9f0-484ce6087547 · inbound
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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Observation ef3e3580-d673-48b4-af9a-198aff386ebf · inbound
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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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 Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 4
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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 Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 4
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Observation 2c9b21f4-9cf7-4dc9-b681-360dc48f2c72 · inbound
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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Observation 964c91b0-4c58-461b-9b75-f1032cbcc7ca · inbound
Hybrid Fourier Neural Operator-Lattice Boltzmann Method Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 8
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Observation 8aa3807e-3ee4-4f7c-963f-ed6268ca8981 · inbound
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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Observation 70e49c08-9565-4a34-bb41-b2ffc1356b79 · inbound
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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Observation f3ce5d97-1de2-46f0-94af-5ff296ef6179 · inbound
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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Observation 46fadef4-4352-4073-82bc-1e04f545f500 · inbound
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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Observation e3e741e0-8177-46ba-9bde-dc976d5770e6 · inbound
Universal Neural Propagator: Learning Time Evolution in Many-Body Quantum Systems Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 50
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Observation ad447a3f-2409-4afd-841c-9b03f008689e · inbound
QuadNorm: Resolution-Robust Normalization for Neural Operators Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 23
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Observation e33c4629-6119-4936-808c-7b7fcd0b1260 · inbound
Excluding the Target Domain Improves Extrapolation: Deconfounded Hierarchical Physics Constraints Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 16
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Observation 7d3826b2-290e-4346-bf90-ed4d1ab313eb · inbound
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
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Observation a9d1273d-34b3-4a01-a17e-d9c26f9c04b2 · inbound
Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 19
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Observation 354c19fb-490b-4cb0-b9fd-513ee03485dd · inbound
Continuity Laws for Sequential Models Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 58
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Observation 8d2a5a4b-a7a4-4312-a31c-8f50dafe5403 · inbound
Bayesian Optimization with Structured Measurements: A Vector-Valued RKHS Framework Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 31
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Observation 777a5558-8c76-4cd9-ba33-3e29ffba8c47 · inbound
Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 33
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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 Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 13
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Observation 258f4065-d0fd-408a-bd1c-2ff2cd349efe · inbound
Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 8
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Observation 95e6a084-5172-4aab-a747-6f2cd450a4c1 · inbound
Topology-Preserving Neural Operator Learning via Hodge Decomposition Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 32
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Observation d9c4eb23-13e4-4efb-94ae-70209dc2e0c7 · inbound
Flow Field Reconstruction with Sensor Placement Policy Learning Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 8
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Observation 69f657b6-6458-468d-8b0c-07fb66426cff · inbound
Discovering Physical Directions in Weight Space: Composing Neural PDE Experts Neural Operator: Graph Kernel Network for Partial Differential Equations
Reference 5
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