Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.00476.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:24:22.598766Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T17:45:46.202919Z
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 df9c4a47-273b-43d3-99ea-9c1fe165e854 · inbound
Graph Retention Networks for Dynamic Graphs cites this paper.
Graph Retention Networks for Dynamic Graphs A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:45:46.206520Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 913ad401-86c7-4770-b737-791a95d6e2ef · inbound
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning cites this paper.
Exploring Graph Mamba: A Comprehensive Survey on State-Space Models for Graph Learning A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 101
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:51:06.396806Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4052379e-e2d0-44c9-a332-2fbc99ca9be0 · inbound
TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction cites this paper.
TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:14:09.978270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7924e0a7-eb23-4cbf-a63c-8532f3a49f6c · inbound
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn cites this paper.
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:47:58.587465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8a2bc3e0-0e9e-4134-bfa9-f57a404f68da · inbound
A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams cites this paper.
A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:12:02.087994Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 17751001-5330-436f-91fc-146a7c545030 · 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 A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:46:34.054494Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ddc21cb-cb5f-4212-a46c-6a86742bcfb2 · inbound
PAC-Bayesian Generalization Bounds for Graph Convolutional Networks on Inductive Node Classification cites this paper.
PAC-Bayesian Generalization Bounds for Graph Convolutional Networks on Inductive Node Classification A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:24:22.598766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 22b5c8a8-91c9-448e-9c7c-418dcc6e78f3 · inbound
UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure cites this paper.
UniSAGE: Unifying Static and Dynamic Attributes with Hyper-Structure A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T14:52:34.185889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6fdd5035-a3a0-419d-9110-14ebd2e52ff0 · inbound
THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model cites this paper.
THGFM: Dual-Branch Temporal Heterogeneous Graph Fusion Model A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T09:58:37.903210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.