Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2204.07321.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T20:29:46.714263Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 782f4e9b-9922-44c2-b3ff-f9e97f061c68 · inbound
Computing and Learning on Combinatorial Data cites this paper.
Computing and Learning on Combinatorial Data Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 227
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:29:46.714263Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dad1ba9-8595-4ef8-a68d-cf204b57c04c · inbound
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling cites this paper.
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:34:54.947250Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 446d0384-f6bd-4aa9-b5bb-d9d26233d2a2 · inbound
Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs cites this paper.
Context Pooling: Query-specific Graph Pooling for Generic Inductive Link Prediction in Knowledge Graphs Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:45:17.258114Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71a714c3-0b7e-4fff-97a5-f9e9691e36f0 · inbound
BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction cites this paper.
BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:16:19.154506Z
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.
Observation 7302a9a8-489a-4b71-bc70-82275a0c5625 · inbound
BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction cites this paper.
BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T22:04:24.149704Z
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.
Observation a9a7ad1c-6905-4ff9-b0d9-8da531e9edd2 · inbound
Learning from Historical Activations in Graph Neural Networks cites this paper.
Learning from Historical Activations in Graph Neural Networks Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-21T17:15:25.420915Z
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.
Observation e3c838e7-95a9-4969-a124-ba7962f4efaf · inbound
GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning cites this paper.
GraphVec: Cross-Domain Graph Vectorization for Graph-Level Representation Learning Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T07:27:31.617481Z
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.
Observation a2df4b5b-9944-44ed-ab0f-911caf29c1e0 · inbound
Treatment Effect Estimation with Differentiated Networked Effect on Graph Data cites this paper.
Treatment Effect Estimation with Differentiated Networked Effect on Graph Data Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:04:46.217651Z
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.
Observation 3bc0f0ff-db6c-4047-8d19-c5f795e3a217 · inbound
GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging cites this paper.
GMN4AD: Graph Matching Network for Alzheimer's Disease Diagnosis with Test-Time Domain Adaptation using Multi-centered Structure Magnetic Resonance Imaging Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T05:20:35.449296Z
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.