Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T19:11:11.872691Z
Paper Citation Record · LEDGER
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
As of 21 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2412.07188.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-13T21:17:59.894410Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T21:18:16.750190Z
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy7
- unresolved4
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5fa6551d-cbc6-4bd7-825c-e7cb67dc27cb · outbound
This paper cites Breaking the limits of message passing graph neural networks.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Breaking the limits of message passing graph neural networks
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:11:12.098968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f0625028-4329-4c24-862c-168d447c9747 · outbound
This paper cites We then sort the eigenvectors by eigenvalue in ascending order and bin them into 20 uniform-width bins.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective We then sort the eigenvectors by eigenvalue in ascending order and bin them into 20 uniform-width bins
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:11:12.027607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 24009dab-538a-4bf2-84dc-258026a27107 · outbound
This paper cites Combining neural networks with personalized pagerank for classification on graphs.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Combining neural networks with personalized pagerank for classification on graphs
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:11:12.080780Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 511d742a-40de-41a3-bcfe-149cdde5e43c · outbound
This paper cites GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:11:11.831489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ee52d68-0df4-4c91-88d2-b4e105a08ff1 · outbound
This paper cites an unresolved cited work.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-11T19:11:12.045738Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 28be6f45-9a5c-46e8-b502-68102462f54f · outbound
This paper cites small enough.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective small enough
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:11:12.012081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e03f649e-727f-4395-951c-fcf23d61e4b0 · outbound
This paper cites ≤” is derived from the observation that any entry of Av1 and Av2 has an absolute value less or equal to one since those two vectors are unit vectors. The second “ ≤.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective ≤” is derived from the observation that any entry of Av1 and Av2 has an absolute value less or equal to one since those two vectors are unit vectors. The second “ ≤
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:11:11.995765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation adc2f1bb-b984-42f1-98c3-a3aa2e6528bb · outbound
This paper cites an unresolved cited work.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Unresolved cited work
Reference 12
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-11T19:11:11.961124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation deeb7587-e515-4131-82da-bc2d4eb50309 · outbound
This paper cites Generally, we observe that the V-shape curves are maintained across all GNNs in almost all datasets.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Generally, we observe that the V-shape curves are maintained across all GNNs in almost all datasets
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:11:11.979357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 590c2cd4-6a42-4eab-9b7b-10591741a592 · outbound
This paper cites Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:11:11.841164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ead613f7-45fc-4305-be37-e3ad59b7fc50 · outbound
This paper cites A Survey on Spectral Graph Neural Networks.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective A Survey on Spectral Graph Neural Networks
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:11:11.822062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0586e97-5a76-455d-baa3-3e23458a1060 · outbound
This paper cites Pitfalls of graph neural network evaluation.
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective Pitfalls of graph neural network evaluation
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T19:11:12.063703Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
Observation 36b1218d-2279-49ef-ad7a-c192c257b83c · inbound
A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction cites this paper.
A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T21:18:16.751398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.