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Paper Citation Record · LEDGER

GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:1803.07294.

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

pith.paper-citation-record.v1
1803.07294 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:32.832958Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:47:47.693612Z

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 43cca05d-b337-4e6b-aac3-11cbc4c5d8e9 · inbound

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

Graph Star Net for Generalized Multi-Task Learning GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-05-25T18:56:08.870293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T18:54:30.043952Z digest=sha256:6fa8e33a7629455e285a4539037b79890ac53abc009baf1c181d345dc143728b

Observation 2314465a-5255-4a45-8a5a-4ec74c4a3a21 · inbound

Transferring Robustness for Graph Neural Network Against Poisoning Attacks cites this paper.

Transferring Robustness for Graph Neural Network Against Poisoning Attacks GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-14T12:19:05.759658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:19:05.759658Z digest=sha256:3d4740f9705d6549aa00a7666dd210f396e7b1bde2794998841b348b9168702b

Observation 5bffce14-66e6-4d7a-a1aa-b741834c4c14 · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:30.051394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:99ffedc0de00761c0f97f469ad88f8f73c2db9852cf4503b175411d5bd8864b0

Observation f55659fe-f359-4a7d-baf2-4223b1886a14 · inbound

Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks cites this paper.

Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:10.958038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:10.958038Z digest=sha256:4a70277859f41c0897c69108457905b1fbdd38dd915e852763744598317b439d

Observation 317ce46e-a84c-4f8e-b1a8-2641ff57a484 · inbound

ReInc: Scaling Training of Dynamic Graph Neural Networks cites this paper.

ReInc: Scaling Training of Dynamic Graph Neural Networks GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-10T14:28:16.995842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:28:16.995842Z digest=sha256:c92af24bd770eca94798d92c8c97c5c9d5c3bca34a2c9574ae67d08547615ee8

Observation 0b430c9e-ba6d-4252-b903-e5dd89be6c57 · inbound

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting cites this paper.

Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:51:32.832958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:51:32.832958Z digest=sha256:4138b6b64e398fa51d5635d8fc6a430bf425ddc33149ac5d128d59fa2fe61831

Observation 13c7d1c3-57f8-44e5-992b-d114bb1a8cf7 · inbound

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks cites this paper.

INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:13.088700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:13.088700Z digest=sha256:b9b7100dd41c17101753abe98702412252c1c9159eda71499207903f116892b7

Observation 0744b6da-b711-4cec-8d08-342c33f6b4b8 · inbound

A Global-Local Graph Attention Network for Traffic Forecasting cites this paper.

A Global-Local Graph Attention Network for Traffic Forecasting GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-19T21:43:13.565126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T21:42:47.975794Z digest=sha256:0b84af9f42b4380374a23f08235411f3c3be8c7fe6039327ad4782628e06fc7b

Observation 3180a4fc-c121-4701-8fbb-81092a451f93 · inbound

GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences cites this paper.

GMENet: Generative Mixture of Experts Network for Multi-Center Glioma Diagnosis with Incomplete Imaging Sequences GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-25T03:26:35.633233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-25T03:25:44.104161Z digest=sha256:009c5d3d71315f570c0817cacd2b25bad5ea80fcd9b1cacff0bc7a27970bf82c

Observation 7e98ef59-0680-4023-8abf-b639b360b840 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 120

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T00:37:29.955134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:bcf9427a3224617e646bb0556425002cbeb72dae137ac18809103b00908ad18e

Observation 870ff8ee-0aaf-46b3-ae05-fbf9b3f3ac20 · inbound

STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting cites this paper.

STAGformer: A Spatio-temporal Agent Graph Transformer for Micro Mobility Demand Forecasting GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-11T01:47:47.716206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-11T01:41:20.147919Z digest=sha256:4caec738abcf2abbd5ea41608f3e089ef19f8759c181e11d4e50298ee3a39ab9

Observation 16e122eb-1204-4888-8094-10d94075c3ab · inbound

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting cites this paper.

EMAGN: Efficient Multi-Attention Graph Network via Learned Clustering for Scalable Traffic Forecasting GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T05:50:44.102338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T05:50:44.102338Z digest=sha256:65f4382c4251b00a9a63ec522bc668af3bb81066e65ec9fa11523e4f76516ee7