Paper Citation Record · LEDGER

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1902.10191.

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

pith.paper-citation-record.v1
1902.10191 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:02:20.562574Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T18:39:48.960251Z

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 85042ba2-f583-440e-afca-af5117238e67 · inbound

Spectral-based Graph Convolutional Network for Directed Graphs cites this paper.

Spectral-based Graph Convolutional Network for Directed Graphs EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-24T18:39:48.964236Z

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 1a74fa93-a04c-4456-8863-1085eaab39f2 · inbound

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions cites this paper.

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T12:02:20.562574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 434a67d7-7809-4b1c-89d8-a94934fadbf0 · inbound

Temporal Graph Networks for Deep Learning on Dynamic Graphs cites this paper.

Temporal Graph Networks for Deep Learning on Dynamic Graphs EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 134

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:04:50.297976Z

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 0a4ae00e-5a0d-4685-ac37-98a77b432e1b · inbound

Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method cites this paper.

Practicable Black-box Evasion Attacks on Link Prediction in Dynamic Graphs -- A Graph Sequential Embedding Method EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T13:28:19.286094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 630f3c57-c6f8-4600-a8a5-dec5a591ea50 · inbound

Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning cites this paper.

Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T19:27:40.212362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c64093-8889-4748-b935-fef614848889 · inbound

GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction cites this paper.

GRIT: Graph Transformer For Internal Ice Layer Thickness Prediction EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T18:46:00.321067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1631e99-b51c-4652-b37d-56fdf36503db · inbound

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs cites this paper.

T-GRAB: A Synthetic Diagnostic Benchmark for Learning on Temporal Graphs EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T17:46:34.098053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83b8a93f-0030-4ccf-9e25-b9bab45c45c1 · inbound

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data cites this paper.

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:41:01.001662Z

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 807aa242-6870-469a-8bc0-069edf1db1b4 · inbound

K-STEMIT: Knowledge-Informed Spatio-Temporal Efficient Multi-Branch Graph Neural Network for Subsurface Stratigraphy Thickness Estimation from Radar Data cites this paper.

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T05:34:33.462240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.