Paper Citation Record · LEDGER

A Fair Comparison of Graph Neural Networks for Graph Classification

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:1912.09893.

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

pith.paper-citation-record.v1
1912.09893 v3

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:15:58.866011Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:17:29.143256Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation ef7c833c-8326-4c0c-b557-14fc7f10de76 · inbound

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs cites this paper.

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:37:37.521340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e57f489-3359-4a03-a6f8-16550978c13f · inbound

From Graph Diffusion to Graph Classification cites this paper.

From Graph Diffusion to Graph Classification A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:25:47.780738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4983d2af-9157-45e1-9af0-b2814fd8a086 · inbound

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks cites this paper.

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T19:01:45.120364Z

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Observation 70fe47a1-b535-4bea-8269-b6667e8aba87 · inbound

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks cites this paper.

OpenGLT: A Comprehensive Benchmark of Graph Neural Networks for Graph-Level Tasks A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:12:38.374113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c08c5ba7-8cd9-4f0c-afd8-714495ce4714 · inbound

Self-Reinforced Graph Contrastive Learning cites this paper.

Self-Reinforced Graph Contrastive Learning A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:15:58.866011Z

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Observation ee4a167f-8289-4e14-abd6-c5e949735a13 · inbound

Chordless Structure: A Pathway to Simple and Expressive GNNs cites this paper.

Chordless Structure: A Pathway to Simple and Expressive GNNs A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:23:13.157177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c480ffdd-5345-4c16-bf6f-fbcca5235198 · inbound

Heterogeneous Graph Backdoor Attack cites this paper.

Heterogeneous Graph Backdoor Attack A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:16:48.827618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53531a45-c2b3-41da-8732-53984bd3d847 · inbound

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals cites this paper.

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:52:15.163040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d63bca2b-e639-46df-9826-f2905df1989c · inbound

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals cites this paper.

HSG-12M: A Large-Scale Benchmark of Spatial Multigraphs from the Energy Spectra of Non-Hermitian Crystals A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:54:28.540057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d9c1a62-20b2-442e-874f-2ed686232905 · 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? A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T01:07:34.769782Z

Source-reported events for the cited work

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Observation e56e962e-84af-4c34-a844-47b63100c0eb · inbound

Scalable inference of large-scale random kronecker graphs via tensor decomposition and Einstein summation cites this paper.

Scalable inference of large-scale random kronecker graphs via tensor decomposition and Einstein summation A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:15:45.422882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 743a3aaa-d506-4690-8787-17d351d3fc2f · inbound

Bridging Theory and Practice in Link Representation with Graph Neural Networks cites this paper.

Bridging Theory and Practice in Link Representation with Graph Neural Networks A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:35:07.884976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b0d7efd-ab58-4a52-8a52-376a1f6a11c6 · inbound

Learnable quantum spectral filters for hybrid graph neural networks cites this paper.

Learnable quantum spectral filters for hybrid graph neural networks A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-06T19:29:07.383382Z

Source-reported events for the cited work

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Observation 4c2eb71c-6943-4e38-aff6-c0790d2fb0a0 · inbound

Efficient and Accurate Graph Classification with Hyperdimensional Computing on FPGA cites this paper.

Efficient and Accurate Graph Classification with Hyperdimensional Computing on FPGA A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:15:25.323678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea65eead-1883-400d-a0b0-9f558c06662f · inbound

CTQWformer: A CTQW-based Transformer for Graph Classification cites this paper.

CTQWformer: A CTQW-based Transformer for Graph Classification A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:26:25.752360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a4144bbf-2593-47f3-8462-1606ff3a182d · inbound

Learning over Positive and Negative Edges with Contrastive Message Passing cites this paper.

Learning over Positive and Negative Edges with Contrastive Message Passing A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:33:16.847741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f2fd519-1b55-40eb-865f-a10e138317a8 · inbound

AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification cites this paper.

AbstainGNN: Teaching Graph Neural Networks to Abstain for Graph Classification A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T00:02:49.807565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4548ee6a-62b9-42df-9abd-fc127815b21d · inbound

Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets cites this paper.

Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:17:29.145164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b3dab5d-5d19-4940-b761-3f4ba06e3397 · inbound

MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning cites this paper.

MEGA-CL: A Molecular Foundation Model for Generalizable ADMET Prediction through Graph External Attention and Contrastive Learning A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-31T18:33:46.589286Z

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Unavailable: canonical work link unavailable.

Observation a2bc7e98-a69c-47f7-a36d-fd1a6f4bca3c · inbound

Benchmarking Sheaf Neural Networks for Inductive Tasks cites this paper.

Benchmarking Sheaf Neural Networks for Inductive Tasks A Fair Comparison of Graph Neural Networks for Graph Classification

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-04T04:52:31.889191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.