Paper Citation Record · LEDGER

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2104.07145.

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

pith.paper-citation-record.v1
2104.07145 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:50.905754Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:29.094466Z

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 210056c9-acca-47b9-999b-268ef94dcbb8 · inbound

Gradient Inversion Attack on Graph Neural Networks cites this paper.

Gradient Inversion Attack on Graph Neural Networks FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T10:17:09.917746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9d2233-1f5a-4ee9-bfb2-aff60de1b4b9 · inbound

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks cites this paper.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T10:51:16.163144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4548b52d-cd9e-44c3-94e9-4b18ea703f24 · inbound

FedGIG: Graph Inversion from Gradient in Federated Learning cites this paper.

FedGIG: Graph Inversion from Gradient in Federated Learning FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T04:45:50.928436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74e44756-fb79-4144-8379-0c89af83aa34 · inbound

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks cites this paper.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T22:03:56.883134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acc92b24-b518-4bf5-bf26-93889bbd5c7d · inbound

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling cites this paper.

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T17:06:37.382067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93066199-837b-4798-9e71-8c217218c090 · inbound

Secure Federated Graph-Filtering for Recommender Systems cites this paper.

Secure Federated Graph-Filtering for Recommender Systems FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T05:55:14.309687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ed991a0-b046-4a14-bbe2-570c327dbc80 · inbound

GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network cites this paper.

GraphEdge: Dynamic Graph Partition and Task Scheduling for GNNs Computing in Edge Network FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T11:21:50.905754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cc862a0-0fe7-43fb-a12d-701bbfbe4f06 · inbound

Modular Federated Learning: A Meta-Framework Perspective cites this paper.

Modular Federated Learning: A Meta-Framework Perspective FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 106

Resolution: unresolved; no resolver link, observed 2026-08-15T21:53:22.584855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d9f11b9-a01e-4ffb-8930-389c6624fd6c · inbound

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data cites this paper.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:31.938957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5711e2e-1a21-4f6d-b7fe-f44b5dbeb6cb · inbound

Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability cites this paper.

Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:24:10.724961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e20b5f9e-c9c3-420d-95f3-706d9a17824f · inbound

UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment cites this paper.

UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.048517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a926077c-113b-45bf-a4ba-6748880e6b0e · inbound

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning cites this paper.

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:42:30.451841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05dae213-7264-47c0-ad28-de57e846191e · inbound

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks cites this paper.

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:02.137342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 61b2d797-e349-4124-adb7-08e86f27423c · inbound

PRISM: Topology-Aware Cross-Modal Imputation for Modality-Deficient Federated Graph Learning cites this paper.

PRISM: Topology-Aware Cross-Modal Imputation for Modality-Deficient Federated Graph Learning FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:57:29.095904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.