Paper Citation Record · LEDGER

A simple yet effective baseline for non-attributed graph classification

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1811.03508.

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

pith.paper-citation-record.v1
1811.03508 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:40:26.966564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:06:41.464296Z

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 b5186ab7-58b5-4361-9931-d6246d4b1b49 · inbound

Fast Graph Representation Learning with PyTorch Geometric cites this paper.

Fast Graph Representation Learning with PyTorch Geometric A simple yet effective baseline for non-attributed graph classification

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:01:23.684741Z

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 d2c39dd1-2921-4a8e-83ad-beb968325fc9 · inbound

PyG-SSL: A Graph Self-Supervised Learning Toolkit cites this paper.

PyG-SSL: A Graph Self-Supervised Learning Toolkit A simple yet effective baseline for non-attributed graph classification

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-10T23:04:57.081706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ad7d776-db9c-4312-b908-e3848e2d208a · inbound

Enhancing the Utility of Higher-Order Information in Relational Learning cites this paper.

Enhancing the Utility of Higher-Order Information in Relational Learning A simple yet effective baseline for non-attributed graph classification

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T21:04:19.395944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26341d9b-3f99-49f3-9a10-6b29e3a21d31 · inbound

Graph Network for Sign Language Tasks cites this paper.

Graph Network for Sign Language Tasks A simple yet effective baseline for non-attributed graph classification

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T12:40:26.966564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003001ad-08d4-4b6d-a443-a99cb64daeb2 · inbound

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing cites this paper.

GBGC: Efficient and Adaptive Graph Coarsening via Granular-ball Computing A simple yet effective baseline for non-attributed graph classification

Reference 2005

Resolution: unresolved; no resolver link, observed 2026-08-15T18:40:40.454148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13727764-0883-44b5-9cf8-9ef139f37eca · inbound

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning cites this paper.

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning A simple yet effective baseline for non-attributed graph classification

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:43:40.385675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fff4d1a7-04f0-46d2-b100-e13ef1d1ea78 · inbound

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size cites this paper.

Graph Contrastive Learning versus Untrained Baselines: The Role of Dataset Size A simple yet effective baseline for non-attributed graph classification

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T12:31:08.904576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6dd5088-51a4-4d07-aff6-014322c3afd1 · inbound

Learning to accelerate distributed ADMM using graph neural networks cites this paper.

Learning to accelerate distributed ADMM using graph neural networks A simple yet effective baseline for non-attributed graph classification

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:46:45.083248Z

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 1d966bf7-f60e-4c3e-bcb9-3ab5a1ee985c · inbound

Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes cites this paper.

Graph-Conditioned Meta-Optimizer for QAOA Parameter Generation on Multiple Problem Classes A simple yet effective baseline for non-attributed graph classification

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:31:15.971687Z

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 3d70888e-2dd6-468d-962b-bdadaa567729 · inbound

Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning cites this paper.

Graph Cascades: Contagion-Based Mesoscopic Rewiring for Structure-Aware Graph Machine Learning A simple yet effective baseline for non-attributed graph classification

Reference 145

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T06:06:41.465604Z

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 0a8e2d80-9a2e-48ed-9e68-4b832126ebfe · inbound

Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls cites this paper.

Towards Faithful Graph Explanations with Synergistic Edge Effects via Granular Balls A simple yet effective baseline for non-attributed graph classification

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T07:41:30.826937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.