Pith. sign in

Paper Citation Record · LEDGER

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations

As of 9 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.23014.

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

pith.paper-citation-record.v1
2505.23014 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:02:16.071188Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact4
  • verified fuzzy28
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4eab02d-ec29-49d9-8e4e-3f0bdd6b1416 · outbound

This paper cites Analyzing the expressive power of graph neural networks in a spectral perspective.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Analyzing the expressive power of graph neural networks in a spectral perspective

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:25.168224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:09.658265Z digest=sha256:815128a66c9e5419527ebeef517c8cec2e0323edd1e41f5fdc1c10fc9b6206fd

Observation f54ea8dc-0692-4e13-ad2c-8725ce43ef3f · outbound

This paper cites M., Grattarola, D., Livi, L., and Alippi, C.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations M., Grattarola, D., Livi, L., and Alippi, C

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:09.702664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:09.702664Z digest=sha256:0731b0fd976d110ffa07d2cbe24ac16b40b9ffd67c0ea8aea8001c67d6844c37

Observation 75df4881-41ef-48a8-86f0-5fd1a9a7d2ba · outbound

This paper cites Specformer: Spectral graph neural networks meet transformers.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Specformer: Spectral graph neural networks meet transformers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.917434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:09.761891Z digest=sha256:2a9aeeb47895fb8a15b9351bdbd0083403f54c6d12491ec782ba799e6e94eafe

Observation 35f5d4b2-5f31-475e-af32-881e4a857bc6 · outbound

This paper cites Spectral networks and locally connected networks on graphs.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Spectral networks and locally connected networks on graphs

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.736750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:09.832890Z digest=sha256:e7e3a20c352edf1282ecfe7e4abd8ea8858f51e3f44acb7a5d39dfe02ed45d5b

Observation 84f6d021-3013-4baa-a6a0-bfa0b589bbde · outbound

This paper cites I., Bronstein, M.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations I., Bronstein, M

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.516584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:09.894873Z digest=sha256:675bab1f958ee9ef6d6eb76c6f7d925adb04b6c1e6438c047ef97a528205a698

Observation 239e6f3b-560a-4f2e-a440-49a95347e840 · outbound

This paper cites Hyperbolic graph convolutional neural networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Hyperbolic graph convolutional neural networks

Reference 6

Resolution
verified exact
raw_fallback, observed 2026-08-07T13:02:18.714343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:09.955842Z digest=sha256:0421c14eee7c56a8abb754db9faa0d17369dd9fdbab8e43cd44521be41b10bf7

Observation 06fe35c8-8ce0-4c47-a990-9be07eba1b3c · outbound

This paper cites Q., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Q., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:10.009834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:10.009834Z digest=sha256:c4c6873329d721686e7e7d4e805c0b740be7cf02418d6b0b482b7dc34a135d69

Observation 918216da-e080-4e63-b88e-adf4b644c7f0 · outbound

This paper cites Adaptive universal generalized pagerank graph neural network.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Adaptive universal generalized pagerank graph neural network

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.279705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.076676Z digest=sha256:a2dd0f32bff18445d1377b2d73d1ca88481a0c2bca454d733b3ac8e6aad70576

Observation 5f2ebac3-fe65-497e-b1d2-10699dc4c4eb · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral filtering.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Convolutional neural networks on graphs with fast localized spectral filtering

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:24.077492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.146708Z digest=sha256:0afca706c3c9b9489e75dbc969546c3e8a1edf9292684a229d00c9f2232c15d2

Observation 9a3d22f6-b357-4222-aac8-8423b92cfe9a · outbound

This paper cites PDE-GCN: novel architectures for graph neural networks motivated by partial differential equations.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations PDE-GCN: novel architectures for graph neural networks motivated by partial differential equations

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:23.904044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.198264Z digest=sha256:4f149050e31ab8d73f1017ac44dd4d946d1f716b0bab87a5c501aacd43d5e976

Observation c626848d-8832-451a-837e-db92ad6a48d4 · outbound

This paper cites and Lenssen, J.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations and Lenssen, J

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:23.736669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.253267Z digest=sha256:d68a435f541fd75789711966ba2f638c91c7bbb3cf8f60fa6dcf56452cb52a5b

Observation 0c8981c4-7c12-4e9a-8c16-d12132415019 · outbound

This paper cites Addressing heterophily in graph anomaly detection: A perspective of graph spectrum.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Addressing heterophily in graph anomaly detection: A perspective of graph spectrum

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:10.323071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:10.323071Z digest=sha256:3c9d17e9903acc1b6700d172ac3f0ad72bdb9d8f63ce7a1c184334a16020315e

Observation 90fb572f-3ae1-4a60-9845-b43aa105df12 · outbound

This paper cites R., Soman, J., Regep, C., Liu, G., Hayter, J.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations R., Soman, J., Regep, C., Liu, G., Hayter, J

Reference 13

Resolution
verified exact
doi, observed 2026-08-07T13:02:16.999537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.386965Z digest=sha256:aad6c4ad68732cbe7a5a915fcd174ae951c17a928797d0bd30cb9a040d8cbd42

Observation a496db9d-5b19-490d-81d8-ba22d1445679 · outbound

This paper cites Pyramid graph neural network: A graph sampling and filtering approach for multi-scale disentangled representations.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Pyramid graph neural network: A graph sampling and filtering approach for multi-scale disentangled representations

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:10.456092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:10.456092Z digest=sha256:39efa11853838c1d639b62cb21a5b294ad97922cd3ac315dfe63048183194d51

Observation 4a1296bb-529b-4eb7-80d8-e8105b6cd405 · outbound

This paper cites S., Riley, P.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations S., Riley, P

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:23.529993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.492999Z digest=sha256:89d2e9a865d9124860232a5e03442ff5cedcb2d7d776744bfb1066db0e06c79c

Observation cacf1f25-1744-409a-8d47-ecbbd0ad2382 · outbound

This paper cites and Wei, Z.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations and Wei, Z

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:23.366385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.496452Z digest=sha256:68a8921cfb7a44f6e3891c39c7a0ab1f786eaca289a8aca3f60f65b877854eba

Observation 745771be-7bcf-4667-970b-86aa0c332ddc · outbound

This paper cites Bernnet: Learning arbitrary graph spectral filters via bernstein approximation.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Bernnet: Learning arbitrary graph spectral filters via bernstein approximation

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:23.223188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.499729Z digest=sha256:bd8665b3123c32304589cc2e9997d814221391a3f1d7f72b0a4c450f41449e78

Observation 245e72b7-996e-43c7-9919-994521cb2803 · outbound

This paper cites Convolutional neural networks on graphs with chebyshev approximation, revisited.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Convolutional neural networks on graphs with chebyshev approximation, revisited

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:23.061092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.503714Z digest=sha256:ddfb633103a78668ac3081fa7e52f56a917d9ab51b83f323d898c8f1fc1fb4e4

Observation e889f5fc-fa34-44f0-bc95-702723ab34aa · outbound

This paper cites Optimizing polynomial graph filters: A novel adaptive krylov subspace approach.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Optimizing polynomial graph filters: A novel adaptive krylov subspace approach

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:10.549410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:10.549410Z digest=sha256:045995809ed07e567ef16654b4f540be2cb7b65c82509b19dfab3d733623a330

Observation 8370c6a7-e1c3-4b55-a6bd-d93f80ec17b2 · outbound

This paper cites G., Li, M., and Lio, P.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations G., Li, M., and Lio, P

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:22.886845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.641140Z digest=sha256:08db03f75d50049bb915b5423520cc83055440b4a249f1b1862a72fca9e05427

Observation d08800e7-a918-4dcf-9923-14128399bc75 · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:10.714116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:10.714116Z digest=sha256:e3858b52a3bca9161b1bcb27585377028efd44f5b908e6c0d307c729074d684a

Observation c1823013-f453-4800-b8d4-953fa5535823 · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:02:22.720738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.788510Z digest=sha256:6201b31a5e2a81ccc7e5d75f46439c04db3fa4c0796813d422dd5b84d6a92007

Observation 3472fab7-cdba-44c0-8ebf-aa60e382298e · outbound

This paper cites Predict then propagate: Graph neural networks meet personalized pagerank.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Predict then propagate: Graph neural networks meet personalized pagerank

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:22.560719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.891835Z digest=sha256:1d2cc037886d173aea958d8d2ad9244b5befd0016eb1b1ccb46806b9d12d2258

Observation 31463f1a-e1fe-4eb6-a1c9-ea5c657c7ccb · outbound

This paper cites Diffusion improves graph learning.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Diffusion improves graph learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:22.365832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:10.998097Z digest=sha256:36259c196aed96fdfd38c5ef9c8242859943b8b7483f30fc3fbb67e8a663a106

Observation 09d6fad9-9c59-4736-ba4b-84470d0d517c · outbound

This paper cites Evennet: Ignoring odd-hop neighbors improves robustness of graph neural networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Evennet: Ignoring odd-hop neighbors improves robustness of graph neural networks

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:22.210920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:11.099399Z digest=sha256:c2d8ea26ebcc592be36d091bd67e1822f64a00eb9cc642eae6b6310662c1bc5e

Observation da598fc7-dc06-4172-a7c7-80a7c55f1de6 · outbound

This paper cites G\( ^ 2 \)cn: Graph gaussian convolution networks with concentrated graph filters.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations G\( ^ 2 \)cn: Graph gaussian convolution networks with concentrated graph filters

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:22.004462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:11.194542Z digest=sha256:63af0603b0eee54ebbf42e8766e98ba2726883de085728d8726e6a6f4f6a7578

Observation 41ea36cf-3291-43b3-926c-277e8d6d06b2 · outbound

This paper cites A generalized neural diffusion framework on graphs.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations A generalized neural diffusion framework on graphs

Reference 27

Resolution
verified exact
doi, observed 2026-08-07T13:02:16.736682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:11.273321Z digest=sha256:62525a2453d40baeae52e831fb1edc228a59a3e94e5b7b54464def8845c5ebba

Observation 56ca6903-4c00-4827-9a34-73341a362c7a · outbound

This paper cites B., Azizzadenesheli, K., Liu, B., Stuart, A.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations B., Azizzadenesheli, K., Liu, B., Stuart, A

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:21.817532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:11.379380Z digest=sha256:9c7136c3c9d877ab8105536c499b0b514ca57ab758aa01a3ee0c671d203f0840

Observation 33086fb8-57b2-4c51-9c7d-36b6e672d726 · outbound

This paper cites Revgnn: Negative sampling enhanced contrastive graph learning for academic reviewer recommendation.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Revgnn: Negative sampling enhanced contrastive graph learning for academic reviewer recommendation

Reference 29

Resolution
verified exact
doi, observed 2026-08-07T13:02:16.465019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:11.478940Z digest=sha256:137aaed25c8243e5c110b90e18838e7a15e3aa175f34d041e821acf4bb1cf5c1

Observation 769b4aa8-066b-4a17-a737-9bc808bd905b · outbound

This paper cites A graph-enhanced click model for web search.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations A graph-enhanced click model for web search

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:11.598682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:11.598682Z digest=sha256:f9b23f6f4c63e701057dd83ce8405b5bd9d024b0a852b566e63420665c627736

Observation 78727441-a561-47bb-85a8-a17e2714ff43 · outbound

This paper cites Hyperbolic graph neural networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Hyperbolic graph neural networks

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:21.610035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:11.717164Z digest=sha256:a0b7fc0d44fffe0e7ac524738eb82d5a355efb04c2edfdc22ff3d7b3ad9f9bde

Observation 850677b3-3a44-49fd-a68f-a742dbf349f0 · outbound

This paper cites Z., Xiong, H., and Akoglu, L.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Z., Xiong, H., and Akoglu, L

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:11.813146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:11.813146Z digest=sha256:0f3be684af812588c48183dd66b15f6a65805db0e97df5d1dbf45eac4bc373c9

Observation 880c846a-caec-44d3-a0df-38e526bd0d9a · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:02:21.379637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:11.977913Z digest=sha256:1686ce06340d56036264083820de47c87b35e5282ed21ecb19b4d8c0c392a394

Observation fda2b2f4-7e62-4b79-a8a9-a6cdc523e621 · outbound

This paper cites The pagerank citation ranking: Bringing order to the web.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations The pagerank citation ranking: Bringing order to the web

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:21.195380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:12.167128Z digest=sha256:59be4e9794a1bbe525b2546ad23fdd51c0f8dee19fbb454f9dac1849c61bed13

Observation 7d8c6fa4-b505-442e-ad9c-a413e8290996 · outbound

This paper cites C., Lei, Y., and Yang, B.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations C., Lei, Y., and Yang, B

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:21.013698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:12.294245Z digest=sha256:f466cfdf2031b57f0d5386a1893521dfef69bb603fa29ee2d6cddd753af95064

Observation 25862401-7be1-4674-af40-0073d20113fe · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:02:20.778830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:12.458108Z digest=sha256:7e250f347c02e48f414725b552def3ebb0d35d7ff99a97edbd7e6e7028ce5b27

Observation b94d8eb4-b650-40aa-be0b-67d5adfedff2 · outbound

This paper cites Graph Neural Ordinary Differential Equations.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Graph Neural Ordinary Differential Equations

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:12.625397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:12.625397Z digest=sha256:7795647e40fa1eb4797b4df94fde8d2ed3aed8c8d1f43cdd7de429239b0a49d0

Observation 73572868-927f-4e28-a1cf-213f5fda3a31 · outbound

This paper cites and Sarkar, R.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations and Sarkar, R

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:12.767447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:12.767447Z digest=sha256:c8f57c423ad344c3c838f352fb6eebf59790fc8d73489cc11f66dcd677515c48

Observation 8868def5-2e7d-46eb-a346-abf873378260 · outbound

This paper cites Multi-scale Attributed Node Embedding.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Multi-scale Attributed Node Embedding

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:12.920303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:12.920303Z digest=sha256:8fffac53c2cc384c4fb55ed56dec1037383b50c4b2a1810fda7492253eb2113e

Observation 3fefb625-1aeb-49b2-86f4-51529a517383 · outbound

This paper cites K., Chamberlain, B., Rowbottom, J., Mishra, S., and Bronstein, M.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations K., Chamberlain, B., Rowbottom, J., Mishra, S., and Bronstein, M

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:20.633052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:13.086858Z digest=sha256:96940cb2ca9a4f9a807f40f23d1b58c21df7541bc269730c5b139088de51b4e6

Observation 064edd65-714f-4668-9966-312347a6c2be · outbound

This paper cites Pitfalls of Graph Neural Network Evaluation.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Pitfalls of Graph Neural Network Evaluation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:13.266202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:13.266202Z digest=sha256:a09ac7f54c1e647ce583217d12e882763cd802fd0a3435dd39b62280d19bbaee

Observation c09649eb-41c8-4b78-b0c7-3ca042bfdbbf · outbound

This paper cites W., and Vlimant, J.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations W., and Vlimant, J

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:13.405480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:13.405480Z digest=sha256:32f85f17fb5ce1fe8f05aab6ae40af846732125ba769ef784abe8cb74866534c

Observation 84cdcf8f-a895-4a70-abd5-a6821c63a007 · outbound

This paper cites I., Narang, S.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations I., Narang, S

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:13.519916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:13.519916Z digest=sha256:ce8df5313a0d1121fc31b73603cc19a522822073633a343a4c1ea435bd8b29ad

Observation 4fa14cd0-bef2-42e9-8678-19ff21d35c85 · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:02:20.368835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:13.653837Z digest=sha256:cb612c0f91a633c344ed079c07c4c9a0b0e3d8c482e223be6b43006ce54009b7

Observation 3a729dca-db87-48fd-bf26-bef18ce382c4 · outbound

This paper cites M., Xia, H., Strohmer, T., Bertozzi, A.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations M., Xia, H., Strohmer, T., Bertozzi, A

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:20.187434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:13.823899Z digest=sha256:54befc8ce792dfb5bbe1058e92233e0108308b7e15bbe52d6ca8783de7fcbe8d

Observation f35d93d6-975d-4dba-8da0-7ddf7605535b · outbound

This paper cites Graph attention networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Graph attention networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:19.993272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:13.971432Z digest=sha256:ca2e3ebccc049d914b083adc1c6b813f6f0e7b296a40c8330578a20c388aa9c2

Observation f4f80c6b-371b-4470-9ef8-8722dbd26ea8 · outbound

This paper cites and Zhang, M.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations and Zhang, M

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:19.825295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:14.116433Z digest=sha256:567bdbd77acdced0ae4387056e8e7d40829c632137a43be814f6af3aa4b88394

Observation 75bf7597-0b66-43f1-bcd1-2cd8d692f7af · outbound

This paper cites Dissecting the diffusion process in linear graph convolutional networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Dissecting the diffusion process in linear graph convolutional networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:19.669717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:14.244920Z digest=sha256:052758d51a0ea8689989ccb9a662e00b6bff8d8674048158b91108b69777beff

Observation 47e7965a-40f4-4c5a-8ac1-9257f1bc5e7f · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:02:19.501104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:14.444019Z digest=sha256:55a32564b6a4963fb6d9fe86829e00f140d6c4ce08006495cc1dfd4827166566

Observation e52357b5-0a63-4794-b024-a61739052e25 · outbound

This paper cites Graph neural networks in recommender systems: A survey.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Graph neural networks in recommender systems: A survey

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:14.586016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:14.586016Z digest=sha256:ea4b3c02466e05214626a92e3d8e379946de70b65c94c87d3ecb4b0739c32942

Observation 92b0423d-332e-4c5b-a53f-41a63d4a7c2b · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:14.770464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:14.770464Z digest=sha256:9d56255dac63e337a9317c07fdd203d5f65fa02ecbbeeefb83290ee9f3f8073d

Observation 65d92967-fb2d-4292-897e-3914698eed3a · outbound

This paper cites an unresolved cited work.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:02:19.301177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:14.926539Z digest=sha256:a576b80f0da7dc01d54ed1e676dc3fa5be9a73ddaea3725c8943a8dd8726cbc6

Observation 70146caa-7e88-4e91-b471-c6bed6a9ae48 · outbound

This paper cites W., and Salakhutdinov, R.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations W., and Salakhutdinov, R

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:19.132345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:15.098045Z digest=sha256:9c331d54de851cd97c298467d1b558e3135bac0ed2701e5f58da66fc66053afd

Observation a8113b8a-353a-48b1-b357-9fcf3bbbe832 · outbound

This paper cites Graph wave networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Graph wave networks

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:15.244207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:15.244207Z digest=sha256:52c933c78e552b72ba0e6552f873e355c19151ef2b388a12713ede5676444d5b

Observation b03b9c19-6d04-45ae-92ea-99190803b4ec · outbound

This paper cites Adaptive diffusion in graph neural networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Adaptive diffusion in graph neural networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:02:18.966375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:15.396573Z digest=sha256:7e03949bb8d06a33ffb995557094f6cd6152992ef073eddcc5a9bb3301652726

Observation d1e1b621-8768-45a4-8dca-f16c7949b2bf · outbound

This paper cites Node-oriented spectral filtering for graph neural networks.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Node-oriented spectral filtering for graph neural networks

Reference 56

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T13:02:17.551534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T13:02:15.512122Z digest=sha256:f9e5aa985e5675c5b9f427272c76a7b683626c00bb0ec6e65a11d3e892007ea9

Observation 80ddb849-2e06-4008-9166-161ee840d0d7 · outbound

This paper cites Interpreting and unifying graph neural networks with an optimization framework.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Interpreting and unifying graph neural networks with an optimization framework

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:15.658943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:15.658943Z digest=sha256:daf27aa6844ef5951a80cebbd856bae2212790c85db6d083385cdc0f39f06750

Observation 65eb2049-46c8-4bcb-9a25-49ea2eb179c9 · outbound

This paper cites Wingnn: Dynamic graph neural networks with random gradient aggregation window.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations Wingnn: Dynamic graph neural networks with random gradient aggregation window

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:15.861417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:15.861417Z digest=sha256:1062a6e6355363054dfeb48512d8f85b916854acdd5e154b9b6d2e6fa58a0572

Observation 0005d322-d540-420d-b7b0-d4dea6746e50 · outbound

This paper cites write newline.

Hyperbolic-PDE GNN: Spectral Graph Neural Networks in the Perspective of A System of Hyperbolic Partial Differential Equations write newline

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:02:16.071188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:02:16.071188Z digest=sha256:fd02885eb26c047d82828f8c2e3b93b6e3fbc9894c1280287828a596da79a374

Pith citing papers

No inbound Pith citation observations are available.