Paper Citation Record · LEDGER

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2204.04879.

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

pith.paper-citation-record.v1
2204.04879 v1

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 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:25:32.672853Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T07:56:35.218035Z

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 b1c38bd9-a411-4dfe-8ce6-ba176f6d2b01 · inbound

SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks cites this paper.

SGS-GNN: A Supervised Graph Sparsification method for Graph Neural Networks How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T19:05:45.864913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eca92a60-9de2-4eda-b773-b8453e683cfc · inbound

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks cites this paper.

DB-GNN: Dual-Branch Graph Neural Network with Multi-Level Contrastive Learning for Jointly Identifying Within- and Cross-Frequency Coupled Brain Networks How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T05:25:32.672853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b108c3e2-29a0-41b2-bddf-156972c54fea · inbound

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs cites this paper.

FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T05:16:13.613581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 713b9752-3edc-4505-8aa7-02d65cb27d7c · inbound

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective cites this paper.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:55:50.590679Z

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 a9487b75-c848-436c-856d-5ec89a7f6ba7 · inbound

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective cites this paper.

SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objective How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:56:35.299403Z

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 e3649777-f032-436e-916d-01231469fc1d · inbound

Concept Graph Convolutions: Message Passing in the Concept Space cites this paper.

Concept Graph Convolutions: Message Passing in the Concept Space How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T00:19:46.928582Z

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.