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Paper Citation Record · LEDGER

Graph Neural Networks: A Review of Methods and Applications

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:1812.08434.

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

pith.paper-citation-record.v1
1812.08434 v6

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 2026-08-10T06:31:04.303077+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:29:04.289404Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:43:55.172073Z

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 c78b8ea0-78c9-44ce-970d-43058a3a2b00 · inbound

Fast Training of Sparse Graph Neural Networks on Dense Hardware cites this paper.

Fast Training of Sparse Graph Neural Networks on Dense Hardware Graph Neural Networks: A Review of Methods and Applications

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-25T14:20:55.384249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T14:19:33.774814Z digest=sha256:ce49d3d8f52fcaf6a43928aa7ca964b480b1f21dda58b9e537bcf72ad008541e

Observation 9e1e7d97-a564-4d18-be31-8fa1e9f5f549 · inbound

Graph Star Net for Generalized Multi-Task Learning cites this paper.

Graph Star Net for Generalized Multi-Task Learning Graph Neural Networks: A Review of Methods and Applications

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-25T18:56:08.937877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-25T18:54:30.043952Z digest=sha256:31e967e29effe6a7203ba5a214a00d5c6ef215a992f8f99a7661b3c0c45d0081

Observation c3a3b3ac-cdaa-480f-9cfb-f198041f46ee · inbound

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media cites this paper.

MVAN: Multi-View Attention Networks for Fake News Detection on Social Media Graph Neural Networks: A Review of Methods and Applications

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:51.637901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:42:51.637901Z digest=sha256:2efa913ea9416473b8ac09c467d90cc90609d5b35a7693af2808dd51751636ff

Observation e59084c8-0c62-47ff-9fd5-df5ec3df57d8 · inbound

DEF: Diffusion-augmented Ensemble Forecasting cites this paper.

DEF: Diffusion-augmented Ensemble Forecasting Graph Neural Networks: A Review of Methods and Applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:01.557679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:01.557679Z digest=sha256:5fe9de81d6c09de9371416b8386132f8c42a0be47ac6a4fe07120e172237c9d2

Observation 40eb1d7b-0ecd-402e-a86b-9f5ef3913b63 · inbound

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems cites this paper.

Physics-Informed EvolveGCN: Satellite Prediction for Multi Agent Systems Graph Neural Networks: A Review of Methods and Applications

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T11:55:51.043984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:55:51.043984Z digest=sha256:15659a2194f8d9b4a0be3d55ec644c0d979e849cb265b34eb7aab2c0fa866fad

Observation 615397d0-2a82-4774-bcbf-51d0ead6c9a6 · inbound

Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework cites this paper.

Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework Graph Neural Networks: A Review of Methods and Applications

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T05:52:52.854064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:52:52.854064Z digest=sha256:0c8c25a595416c8eea6485649282868d22fcb801d0ff800d1bfb1c2e876321ff

Observation 62256264-c9b1-4059-8eb6-1f49c1d7582b · inbound

Rethinking Query Optimization for Multi-Agent Systems [Vision] cites this paper.

Rethinking Query Optimization for Multi-Agent Systems [Vision] Graph Neural Networks: A Review of Methods and Applications

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-03T17:21:35.369438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T17:21:35.369438Z digest=sha256:16f257a1fd4f51b6e17b1ec4fa32723ae691e789412b3cf88d5687b9a415d19c

Observation edaaf90f-9b38-4681-83ca-d9a924316f58 · inbound

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective cites this paper.

Machine Learning for Multi-messenger Probes of New Physics and Cosmology: A Review and Perspective Graph Neural Networks: A Review of Methods and Applications

Reference 297

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:46:14.830296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T11:02:17.987425Z digest=sha256:551ad47e378949053e4e34698986eef655c7939e0214a4c8666bf7c83e6c649e

Observation 3694cad6-29dc-45ab-b168-22cbfc31eaf6 · 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 Graph Neural Networks: A Review of Methods and Applications

Reference 232

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:46:06.754051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T15:09:03.417040Z digest=sha256:9d8632f0e83d977c24420dd477b004005281798ae3eb24e681254e5b9deee609

Observation 1e189d01-327c-4fad-aa15-6fb88be99c9c · inbound

The Montparnasse Algorithm for RNA Design cites this paper.

The Montparnasse Algorithm for RNA Design Graph Neural Networks: A Review of Methods and Applications

Reference 273

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:55.174161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T19:34:04.075773Z digest=sha256:ff6f4565fa3063a3a27ed2077d29a0b5f8d1ff523f2c9a006c673901e78fa00b

Observation 1cb30b2e-4c1a-4d12-81e7-65f28b049207 · inbound

An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild cites this paper.

An Analysis of Architectural and Operational Dynamics of Phishkits in the Wild Graph Neural Networks: A Review of Methods and Applications

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T04:29:04.289404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:29:04.289404Z digest=sha256:fb6062ade116cb9cef31d709dcabc42b4b2e0c20821c1d53c835e36896691dcf