Paper Citation Record · LEDGER

Is Homophily a Necessity for Graph Neural Networks?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.06134.

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

pith.paper-citation-record.v1
2106.06134 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T01:07:34.806548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T04:33:39.787298Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3b39eb78-0bd2-4368-b317-c6aeeb9699cb · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Is Homophily a Necessity for Graph Neural Networks?

Reference 280

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:33:39.789833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57825331-c390-4312-82de-80d0d304c810 · inbound

How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? cites this paper.

How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Is Homophily a Necessity for Graph Neural Networks?

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:34.806548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3dec3e7d-97a8-470b-a77f-67b13eb2bc40 · inbound

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective cites this paper.

Are Heterogeneous Graph Neural Networks Truly Effective for Node Classification? A Causal Perspective Is Homophily a Necessity for Graph Neural Networks?

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T11:19:43.537274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e3be1b-00f1-4864-b7c1-59458a2d6c8f · inbound

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning cites this paper.

Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning Is Homophily a Necessity for Graph Neural Networks?

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:51:02.735371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e67fc847-c600-4f38-9471-ea4832980f17 · 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 Homophily a Necessity for Graph Neural Networks?

Reference 165

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:46:06.645961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ce987b7a-f13f-4df9-864c-a4107692206b · inbound

Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification cites this paper.

Analyzing Image Encoder Choices and Graph Homophily in GCN Frameworks for Breast Ultrasound Classification Is Homophily a Necessity for Graph Neural Networks?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T06:45:38.986393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.