Paper Citation Record · LEDGER

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2109.05641.

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

pith.paper-citation-record.v1
2109.05641 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:23:08.083437Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

44
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b222723f-dc0a-4c33-9bf4-993ccf871737 · inbound

Graph Neural Networks for Graphs with Heterophily: A Survey cites this paper.

Graph Neural Networks for Graphs with Heterophily: A Survey Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:19:27.067950Z

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 4f4ab57c-a739-4046-adfb-216a0cb03f98 · inbound

SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation cites this paper.

SIGMA: An Efficient Heterophilous Graph Neural Network with Fast Global Aggregation Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-24T08:46:05.567538Z

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 37c11dc7-cfe3-4a92-ac13-55fbf2c5495c · inbound

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey cites this paper.

Graph Rewiring in GNNs to Mitigate Over-Squashing and Over-Smoothing: A Survey Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-23T16:38:11.165308Z

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 0b662b84-970d-4ed0-bd0b-99cb8eb42a08 · inbound

Partitioning Message Passing for Graph Fraud Detection cites this paper.

Partitioning Message Passing for Graph Fraud Detection Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T19:23:08.083437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46d55731-2115-47d2-bcd0-63e3b30e0d6b · inbound

Revisiting the Necessity of Graph Learning and Common Graph Benchmarks cites this paper.

Revisiting the Necessity of Graph Learning and Common Graph Benchmarks Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T20:00:34.328301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ba5e8c2-1935-417c-81c1-2d9c4e9d6493 · inbound

THeGCN: Temporal Heterophilic Graph Convolutional Network cites this paper.

THeGCN: Temporal Heterophilic Graph Convolutional Network Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T10:38:15.901891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 742977bc-e0c3-41d2-98da-55618f68c68a · inbound

ReFill: Reinforcement Learning for Fill-In Minimization cites this paper.

ReFill: Reinforcement Learning for Fill-In Minimization Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T13:47:19.236692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b43f0924-d180-4c8d-86e3-c87585a8fe42 · inbound

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder cites this paper.

IMPA-HGAE:Intra-Meta-Path Augmented Heterogeneous Graph Autoencoder Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:47.456989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a056cd74-dd5a-4de2-8679-2958ed1121c8 · inbound

Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery cites this paper.

Adapting to Heterophilic Graph Data with Structure-Guided Neighbor Discovery Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:08:34.482166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab4ca057-2db1-4403-a08e-bb341b0aba53 · inbound

Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks cites this paper.

Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-05T16:00:51.609973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 488fe9b5-e5f2-481e-94b6-c0de73549c6a · inbound

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.

Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:13:57.582354Z

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 9fc671e9-5a80-4cdf-a890-7e2c08bf67a1 · inbound

Attention-based graph neural networks: a survey cites this paper.

Attention-based graph neural networks: a survey Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.914441Z

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 d9180238-12bb-4c0c-86fa-bce019de178a · inbound

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 248

Resolution: verified exact; arxiv_id, observed 2026-06-26T11:09:23.790622Z

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 aeb749a0-d5df-470a-9121-2875480092a6 · inbound

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors cites this paper.

Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-31T04:39:46.846491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.