Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:35:01.002065Z
Paper Citation Record · LEDGER
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification
As of 18 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2506.16110.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
54 of 54 outbound references displayed
- verified exact3
- verified fuzzy36
- unresolved15
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0d32dcae-93ba-4e60-bc29-6052d2cd1301 · outbound
This paper cites and Yahav, E.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification and Yahav, E
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.782927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13ad6199-53d2-48c4-8d4b-2b00f6f8722c · outbound
This paper cites Delaunay graph: Addressing over-squashing and over-smoothing using delaunay triangulation.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Delaunay graph: Addressing over-squashing and over-smoothing using delaunay triangulation
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.707577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 16b63962-f380-4551-9a79-52f9ac6d9729 · outbound
This paper cites M., and Giovanni, F.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification M., and Giovanni, F
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.694842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0d3da3b7-6f75-4e70-97d9-82915bfefaa8 · outbound
This paper cites W., Hamrick, J.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification W., Hamrick, J
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.682524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fdf2e94b-609c-4492-9710-cafdc0e52954 · outbound
This paper cites an unresolved cited work.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Unresolved cited work
Reference 5
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c454388f-61ba-4e21-a202-77f6ab04c674 · outbound
This paper cites Understanding oversquashing in gnns through the lens of effective resistance.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Understanding oversquashing in gnns through the lens of effective resistance
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.657342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0dbb0ef2-7472-4e3f-92ea-24e25718ceb0 · outbound
This paper cites \" U ber ein paradoxon aus der verkehrsplanung.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification \" U ber ein paradoxon aus der verkehrsplanung
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.644730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8524a16c-0423-4d8b-8d89-d9e248219d7b · outbound
This paper cites Measuring and relieving the over-smoothing problem for graph neural networks from the topological view.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Measuring and relieving the over-smoothing problem for graph neural networks from the topological view
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.632184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5252cf81-d732-4be7-9d99-fd564b20a896 · outbound
This paper cites Simple and deep graph convolutional networks.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Simple and deep graph convolutional networks
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.619738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2d6dcf04-b73f-4452-8589-cc1dba5806ee · outbound
This paper cites PANDA: expanded width-aware message passing beyond rewiring.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification PANDA: expanded width-aware message passing beyond rewiring
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.607020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b90ffdb-af62-4c5d-82f3-0782725f8dc0 · outbound
This paper cites Higher-Order Expander Graph Propagation.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Higher-Order Expander Graph Propagation
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.827390Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 320ee4d8-ad00-4be7-bf00-474993a47cbe · outbound
This paper cites an unresolved cited work.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T19:35:01.593264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bc64ae5b-b7b5-4dad-be68-a8c742e0804c · outbound
This paper cites Expander graph propagation.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Expander graph propagation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.579378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e29e20c4-c860-49ab-ace2-45f5bbcadf49 · outbound
This paper cites Graph Theory, 4th Edition, volume 173 of Graduate texts in mathematics.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Graph Theory, 4th Edition, volume 173 of Graduate texts in mathematics
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.564826Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2f214ddb-be2b-4f92-a83e-be57d9e47461 · outbound
This paper cites an unresolved cited work.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T19:35:01.551891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 24963d6f-0e27-4052-bf8d-5fd034565518 · outbound
This paper cites and Weber, M.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification and Weber, M
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.538882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f231902e-3833-4b1c-925a-b1fa39e1c4b1 · outbound
This paper cites Algebraic connectivity of graphs.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Algebraic connectivity of graphs
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.525311Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 176dd100-5308-4f2f-acc1-79c8b57dce1d · outbound
This paper cites M., and Ceylan, \.I.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification M., and Ceylan, \.I
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.512140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dde9c182-1de6-423d-964a-7e4926b77533 · outbound
This paper cites S., Riley, P.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification S., Riley, P
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.860311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4da1a6b6-77f5-403f-84fa-522ebbf342f3 · outbound
This paper cites D., Giusti, L., Barbero, F., Luise, G., Lio, P., and Bronstein, M.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification D., Giusti, L., Barbero, F., Luise, G., Lio, P., and Bronstein, M
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.490819Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8e9a58bf-475d-435a-b534-74ba6ba07374 · outbound
This paper cites Graph Theory.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Graph Theory
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.477639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d0e373af-9cc3-4845-b8c7-1737b05d8ae5 · outbound
This paper cites Spectral Graph Pruning Against Over-Squashing and Over-Smoothing.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Spectral Graph Pruning Against Over-Squashing and Over-Smoothing
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T19:35:01.080124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c315f964-c148-4bd3-b6c0-3be7133b695b · outbound
This paper cites K., and Mont \' u far, G.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification K., and Mont \' u far, G
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.464428Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1c3f2722-2b94-4b83-a8be-080f6704797e · outbound
This paper cites an unresolved cited work.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Unresolved cited work
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.881203Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4eb5b1a1-180d-412d-9ecc-a0c910aa388f · outbound
This paper cites Y., Nguyen, A.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Y., Nguyen, A
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.442943Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 64349c45-9fc0-49bc-b10a-c7b14e51de7f · outbound
This paper cites L., and Peng, R.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification L., and Peng, R
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.429917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f1071176-4731-431b-8f2e-5b4278410406 · outbound
This paper cites L., L \' e tourneau, V., and Tossou, P.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification L., L \' e tourneau, V., and Tossou, P
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.892669Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7e5d4c5-e843-40a1-93f9-6dc12461978a · outbound
This paper cites Crafting papers on machine learning.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Crafting papers on machine learning
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.896888Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a34081b6-f80b-44a9-b70b-e5b59e3a83c4 · outbound
This paper cites Deeper insights into graph convolutional networks for semi-supervised learning.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Deeper insights into graph convolutional networks for semi-supervised learning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.399005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1d88e272-8710-48b3-85da-8393864843e2 · outbound
This paper cites Predicting global label relationship matrix for graph neural networks under heterophily.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Predicting global label relationship matrix for graph neural networks under heterophily
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.385444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 33106a75-0368-4bae-af46-bd2832e4354a · outbound
This paper cites Tackling long-tailed distribution issue in graph neural networks via normalization.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Tackling long-tailed distribution issue in graph neural networks via normalization
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.371349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f9e434c8-b8d3-4496-b1e1-481e8a23329b · outbound
This paper cites Sign is not a remedy: Multiset-to-multiset message passing for learning on heterophilic graphs.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Sign is not a remedy: Multiset-to-multiset message passing for learning on heterophilic graphs
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.356975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f7084575-b2f1-443b-8e88-f3ea42d083db · outbound
This paper cites Revisiting heterophily for graph neural networks.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Revisiting heterophily for graph neural networks
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.343174Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 51f055bb-ac3f-4d31-9dfe-ad406bab9cfb · outbound
This paper cites Learning to drop: Robust graph neural network via topological denoising.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Learning to drop: Robust graph neural network via topological denoising
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.329651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 140d0299-689f-41b5-a8bb-274d36f98642 · outbound
This paper cites L., Lenssen, J.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification L., Lenssen, J
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.316376Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fb5f1eeb-8e05-45f9-8073-2ad4b603712c · outbound
This paper cites M., Nguyen, V.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification M., Nguyen, V
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.303278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cc356093-c086-458c-9b7d-cb8847dc6f3b · outbound
This paper cites C., Lei, Y., and Yang, B.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification C., Lei, Y., and Yang, B
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.932687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a2ee3751-4bc6-466c-be3a-245868b39de9 · outbound
This paper cites Local algorithms for estimating effective resistance.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Local algorithms for estimating effective resistance
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.279869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b1cce866-fdce-4282-ad5e-01963019f20b · outbound
This paper cites V., Niepert, M., and Morris, C.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification V., Niepert, M., and Morris, C
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.264935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1098c422-1bc4-4d56-824c-f0f49d9055ff · outbound
This paper cites Multi-scale attributed node embedding.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Multi-scale attributed node embedding
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.251786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d3922f5c-3e5c-473c-a3da-54b2c2193858 · outbound
This paper cites T., Merel, J., Riedmiller, M., Hadsell, R., and Battaglia, P.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification T., Merel, J., Riedmiller, M., Hadsell, R., and Battaglia, P
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.238862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 860c292e-85f0-4e65-bd19-2370e3af06d8 · outbound
This paper cites C., Hagenbuchner, M., and Monfardini, G.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification C., Hagenbuchner, M., and Monfardini, G
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.225635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f5662233-bddb-4926-b1a1-cbf6d3eea48a · outbound
This paper cites Models, Entropy and Information of Temporal Social Networks.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Models, Entropy and Information of Temporal Social Networks
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T19:35:01.061519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aae0827b-7397-4eb8-ba53-ece3eea1b5fa · outbound
This paper cites an unresolved cited work.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T19:35:01.212334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 04860d57-e647-435f-9b72-fce0125b9299 · outbound
This paper cites an unresolved cited work.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Unresolved cited work
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.965009Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6239e9ff-f5fc-43e4-8f12-904e52080c59 · outbound
This paper cites D., Chamberlain, B.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification D., Chamberlain, B
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.190788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0fe72965-24cc-4e53-848c-7e08a77e9cf9 · outbound
This paper cites Leave Graphs Alone: Addressing Over-Squashing without Rewiring.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Leave Graphs Alone: Addressing Over-Squashing without Rewiring
Reference 47
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T19:35:01.042950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3d606120-4cd0-4bec-9fea-d7674c6478f5 · outbound
This paper cites N., and Welling, M.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification N., and Welling, M
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.176908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b6c81ee-558a-45ce-ba5b-d31f17310685 · outbound
This paper cites Graph attention networks.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Graph attention networks
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.163670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1752ac13-288d-4c9c-9bb7-1fd952784818 · outbound
This paper cites How powerful are graph neural networks? In ICLR, 2019.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification How powerful are graph neural networks? In ICLR, 2019
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.985468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74cd8837-e4dd-43bd-ad63-e9ac8156ba87 · outbound
This paper cites W., and Salakhutdinov, R.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification W., and Salakhutdinov, R
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.140783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa5b59eb-3150-4e17-b844-a634bdf14672 · outbound
This paper cites Do transformers really perform badly for graph representation? In NeurIPS, 2021.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Do transformers really perform badly for graph representation? In NeurIPS, 2021
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:00.993939Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ead29531-7063-4f6d-98e3-73f0d67d1a54 · outbound
This paper cites Beyond homophily in graph neural networks: Current limitations and effective designs.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification Beyond homophily in graph neural networks: Current limitations and effective designs
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T19:35:01.117675Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 207c8771-9732-409b-9b6c-969b1af35fa6 · outbound
This paper cites write newline.
Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification write newline
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:35:01.002065Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.