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Paper Citation Record · LEDGER

A Comprehensive Data-centric Overview of Federated Graph Learning

As of 14 August 2026, this Paper Citation Record lists 100 of 224 outbound references and 3 inbound Pith citation observations for arXiv:2507.16541.

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

pith.paper-citation-record.v1
2507.16541 v1

Coverage vector

measured 100 of 224 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:11:15.043247Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T00:38:04.437923Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T07:42:30.430026Z

Reference resolution

100 of 224 outbound references displayed

  • verified exact7
  • verified fuzzy0
  • unresolved92
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4502d5d1-7831-444a-9631-355081cb24eb · outbound

This paper cites Beyond i.i.d.: Non-iid thinking, informatics, and learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Beyond i.i.d.: Non-iid thinking, informatics, and learning,

Reference 1

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Observation ad13d43c-9f75-4288-92f6-c6d18a7abb13 · outbound

This paper cites Highly accurate protein structure prediction with alphafold,.

A Comprehensive Data-centric Overview of Federated Graph Learning Highly accurate protein structure prediction with alphafold,

Reference 2

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Observation 2cc1f7c2-ccef-4ee3-8967-c775215075e7 · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Semi-supervised classification with graph convolutional networks,

Reference 3

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Observation f39ed59c-4232-4509-8354-07222d7eb492 · outbound

This paper cites Graph Attention Networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Graph Attention Networks,

Reference 4

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Observation ca574c65-2cb5-4030-b00b-a762754cf87f · outbound

This paper cites Data-centric graph learning: A survey,.

A Comprehensive Data-centric Overview of Federated Graph Learning Data-centric graph learning: A survey,

Reference 5

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Observation 09b6a2a4-8908-4571-9f4b-419e95b25776 · outbound

This paper cites Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federatedscope-llm: A comprehensive package for fine-tuning large language models in federated learning,

Reference 6

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Observation 7b99b20f-6279-46be-beda-86cb57c51887 · outbound

This paper cites A fast and high quality multilevel scheme for partitioning irregular graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning A fast and high quality multilevel scheme for partitioning irregular graphs,

Reference 7

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Observation f125f742-8da3-4464-b608-079150ba6d35 · outbound

This paper cites Fast unfolding of communities in large networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fast unfolding of communities in large networks,

Reference 8

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Observation 623eb9c2-09fe-4beb-9443-a58c327f595c · outbound

This paper cites AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity.

A Comprehensive Data-centric Overview of Federated Graph Learning AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity

Reference 9

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Observation 3e049b18-aefa-433a-b676-f04a11af8877 · outbound

This paper cites FedGTA: Topology-aware Averaging for Federated Graph Learning.

A Comprehensive Data-centric Overview of Federated Graph Learning FedGTA: Topology-aware Averaging for Federated Graph Learning

Reference 10

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Observation a81a293e-e02c-4ee1-9949-43f04fa517d8 · outbound

This paper cites FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning.

A Comprehensive Data-centric Overview of Federated Graph Learning FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning

Reference 11

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Observation 74efeaa5-201c-483a-bc40-b5b1ac25d82b · outbound

This paper cites Semi-supervised classification with graph convolutional networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Semi-supervised classification with graph convolutional networks,

Reference 12

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Observation aee674c3-7978-4d72-af2c-eb4268f9e2cb · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

A Comprehensive Data-centric Overview of Federated Graph Learning Communication-efficient learning of deep networks from decentralized data,

Reference 13

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Observation 81fc0273-d9c0-4d38-b27c-db5ee5c0769e · outbound

This paper cites Inductive representation learning on large graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning Inductive representation learning on large graphs,

Reference 14

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Observation 53ea15dd-dca6-4f96-99c5-3d6e93532c16 · outbound

This paper cites Graph neural networks: A review of methods and applications,.

A Comprehensive Data-centric Overview of Federated Graph Learning Graph neural networks: A review of methods and applications,

Reference 15

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Observation ce990083-9057-4e97-87cb-3b56a0462482 · outbound

This paper cites A comprehensive survey on graph neural networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning A comprehensive survey on graph neural networks,

Reference 16

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Observation 3af8de68-f74e-415c-8334-8d63a110170c · outbound

This paper cites Federated Graph Learning -- A Position Paper.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated Graph Learning -- A Position Paper

Reference 17

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Observation 14eafe77-125d-4abf-9045-084cc9c053c3 · outbound

This paper cites Federated graph machine learning: A survey of concepts, techniques, and applications,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated graph machine learning: A survey of concepts, techniques, and applications,

Reference 18

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Observation 815dc383-1546-4420-b48f-8e89d5eda72d · outbound

This paper cites Federated graph neural networks: Overview, techniques, and challenges,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated graph neural networks: Overview, techniques, and challenges,

Reference 19

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Observation 68bb457d-a161-4fd3-a051-4ff5b2068e18 · outbound

This paper cites Semi-decentralized federated ego graph learning for recommendation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Semi-decentralized federated ego graph learning for recommendation,

Reference 20

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Observation 92fc2e32-dec9-4f4d-b677-1fd19ad59cd9 · outbound

This paper cites Link prediction based on graph neural networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Link prediction based on graph neural networks,

Reference 21

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Observation 4cee9c75-6d0c-4951-b871-a478d3d679da · outbound

This paper cites Graph convolutional networks with eigenpooling,.

A Comprehensive Data-centric Overview of Federated Graph Learning Graph convolutional networks with eigenpooling,

Reference 22

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Observation 307876bf-7d24-42cf-8c4b-17553d72deab · outbound

This paper cites Federated node classification over graphs with latent link-type heterogeneity,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated node classification over graphs with latent link-type heterogeneity,

Reference 23

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Observation a5a8b74f-f5ca-45b4-97a7-49aed6f41177 · outbound

This paper cites Dynamic activation of clients and parameters for federated learning over het- erogeneous graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning Dynamic activation of clients and parameters for federated learning over het- erogeneous graphs,

Reference 24

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Observation 96928ce6-377d-4479-9b74-f28960879cd4 · outbound

This paper cites Federated heterogeneous graph neural network for privacy-preserving recommen- dation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated heterogeneous graph neural network for privacy-preserving recommen- dation,

Reference 25

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Observation d13e1344-6b7a-4297-bd02-1ef238d071da · outbound

This paper cites A survey on knowledge graphs: Representation, acquisition, and applications,.

A Comprehensive Data-centric Overview of Federated Graph Learning A survey on knowledge graphs: Representation, acquisition, and applications,

Reference 26

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Observation 6d7f247f-19a1-47b1-9eb7-211cc3dc6591 · outbound

This paper cites Knowledge graph embedding: A survey of approaches and applications,.

A Comprehensive Data-centric Overview of Federated Graph Learning Knowledge graph embedding: A survey of approaches and applications,

Reference 27

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Observation 368ff5e4-d138-4818-97a9-f80b7d51b6f3 · outbound

This paper cites Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting.

A Comprehensive Data-centric Overview of Federated Graph Learning Meta-Learning Based Knowledge Extrapolation for Knowledge Graphs in the Federated Setting

Reference 28

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Observation 4914ffa2-322f-4d0c-bbb2-77cb2c9cd047 · outbound

This paper cites A federated graph to embedding approach for knowledge graph completion,.

A Comprehensive Data-centric Overview of Federated Graph Learning A federated graph to embedding approach for knowledge graph completion,

Reference 29

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Observation fee5ad86-fafe-48df-a842-1bb208cefced · outbound

This paper cites Knowledge graph and knowledge reasoning: A systematic review,.

A Comprehensive Data-centric Overview of Federated Graph Learning Knowledge graph and knowledge reasoning: A systematic review,

Reference 30

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Observation fb8883e4-4f32-4c96-9284-287b9d81fb22 · outbound

This paper cites Ensemble-gnn: federated ensemble learning with graph neural networks for disease module discovery and classification,.

A Comprehensive Data-centric Overview of Federated Graph Learning Ensemble-gnn: federated ensemble learning with graph neural networks for disease module discovery and classification,

Reference 32

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Observation d3ca3e15-2335-47fb-8556-14c4eb62c828 · outbound

This paper cites Enhancing federated learning-based social recommendations with graph attention networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Enhancing federated learning-based social recommendations with graph attention networks,

Reference 35

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Observation 60ea76c2-920a-487f-a8f4-92b2e4e715a5 · outbound

This paper cites Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks,

Reference 36

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Observation fbe05941-51fc-44da-8071-7f1a6e63b23c · outbound

This paper cites Anti-money laundering in cryptocurrency via multi-relational graph neural network,.

A Comprehensive Data-centric Overview of Federated Graph Learning Anti-money laundering in cryptocurrency via multi-relational graph neural network,

Reference 37

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Observation 1ffb10df-d598-415e-9c8e-4e4380793586 · outbound

This paper cites Privacy-preserving graph convolution network for federated item recommendation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Privacy-preserving graph convolution network for federated item recommendation,

Reference 38

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Observation 57d78bdc-1611-47a9-9e25-e23a984de7b9 · outbound

This paper cites Fedego: privacy-preserving personalized federated graph learning with ego- graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedego: privacy-preserving personalized federated graph learning with ego- graphs,

Reference 39

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Observation 14985072-23f5-4d82-a155-1fa8119c6a4d · outbound

This paper cites Federated graph classification over non-iid graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated graph classification over non-iid graphs,

Reference 40

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Observation 9d697331-e5e4-49e3-a49d-55f6141ed88f · outbound

This paper cites Federated learning on non-iid graphs via structural knowledge sharing,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated learning on non-iid graphs via structural knowledge sharing,

Reference 41

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Observation ca87698b-50cb-4203-b8d0-f1c032f290b3 · outbound

This paper cites FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference.

A Comprehensive Data-centric Overview of Federated Graph Learning FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

Reference 42

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Observation 0d697197-d57d-489e-a483-644299a8c0a7 · outbound

This paper cites Mitigating the performance sacrifice in dp-satisfied federated settings through graph contrastive learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Mitigating the performance sacrifice in dp-satisfied federated settings through graph contrastive learning,

Reference 43

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source=pdf_text observed=2026-08-06T15:11:14.761289Z digest=sha256:9150f11816659d78778cefef74433c1b346cebbc1fa4144e59fe0fd2892520f1

Observation ea81255b-ba9b-4a5a-a46e-3167e1710b78 · outbound

This paper cites Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning.

A Comprehensive Data-centric Overview of Federated Graph Learning Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning

Reference 44

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:11:14.765919Z digest=sha256:b746023c85a0465408bd296da76e85729232434c725eaad4804610deffde241e

Observation 272d7b03-9222-4d90-9071-a0450ed11e3f · outbound

This paper cites Distributed backdoor attacks on federated graph learning and certified defenses,.

A Comprehensive Data-centric Overview of Federated Graph Learning Distributed backdoor attacks on federated graph learning and certified defenses,

Reference 45

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source=pdf_text observed=2026-08-06T15:11:14.771110Z digest=sha256:1024efc7a5a131f098ace682f66d4d1cdc0ae55f4f89132770ac245dd7a5e048

Observation d1279afb-a078-412f-9b31-722c230308f8 · outbound

This paper cites Ni-gdba: Non-intrusive distributed backdoor attack based on adaptive perturbation on federated graph learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Ni-gdba: Non-intrusive distributed backdoor attack based on adaptive perturbation on federated graph learning,

Reference 46

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source=pdf_text observed=2026-08-06T15:11:14.775722Z digest=sha256:2ff70378696d08f50805760afa95991bff583451843e536b54c63d30179f2d5e

Observation 48480d1c-5ba7-4665-9053-46265df271a2 · outbound

This paper cites FedGMark: Certifiably Robust Watermarking for Federated Graph Learning.

A Comprehensive Data-centric Overview of Federated Graph Learning FedGMark: Certifiably Robust Watermarking for Federated Graph Learning

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:11:14.781109Z digest=sha256:a80e2eafa01fcfbda15e936cd6bbbd003c3e1935c6163f941e956ce53a14427f

Observation ebd1c30f-f172-4865-a2ef-b8562650ede3 · outbound

This paper cites Fedgraph: Federated graph learning with intelligent sampling,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedgraph: Federated graph learning with intelligent sampling,

Reference 48

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source=pdf_text observed=2026-08-06T15:11:14.785871Z digest=sha256:8cb68ac0d1545a16284777aa15f4d617b13d49d62b538ebcf8196470b1538c2d

Observation e0ab70ad-1dd7-409b-a794-9757d6dc5fba · outbound

This paper cites Fedgcn: Convergence- communication tradeoffs in federated training of graph convolutional 18 networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedgcn: Convergence- communication tradeoffs in federated training of graph convolutional 18 networks,

Reference 49

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source=pdf_text observed=2026-08-06T15:11:14.790166Z digest=sha256:46452888b9909fb831c8f0cd420ae9e91787a280f079b681874759b6a2c57095

Observation b6fbc3ce-69d0-4f9b-b038-74f8c2543251 · outbound

This paper cites Graphfl: A federated learning framework for semi-supervised node classification on graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning Graphfl: A federated learning framework for semi-supervised node classification on graphs,

Reference 50

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source=pdf_text observed=2026-08-06T15:11:14.795261Z digest=sha256:01c34cd547303401db96af09b63f19445127b76d0872c6d9623cf544c290c8b6

Observation 682a4f46-6264-4653-896a-fd4019753584 · outbound

This paper cites FedGL: Federated Graph Learning Framework with Global Self-Supervision.

A Comprehensive Data-centric Overview of Federated Graph Learning FedGL: Federated Graph Learning Framework with Global Self-Supervision

Reference 51

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source=pdf_text observed=2026-08-06T15:11:14.799756Z digest=sha256:1dfdb0ed247a946dcf659f4f8e71e59ff28b6c204db381d946288779cf62b84b

Observation fffd113f-ae54-40af-890d-83db0cd08ca9 · outbound

This paper cites Personalized subgraph federated learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Personalized subgraph federated learning,

Reference 52

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source=pdf_text observed=2026-08-06T15:11:14.804439Z digest=sha256:165e8387f108afe4eda3085e7b9f5200fd1b6faa8c6399686eb2dc080d29ca92

Observation 5f19c7e8-10d0-4a68-8f8a-45a7f352c1c2 · outbound

This paper cites Federated graph learning under domain shift with generalizable prototypes,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated graph learning under domain shift with generalizable prototypes,

Reference 53

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source=pdf_text observed=2026-08-06T15:11:14.809144Z digest=sha256:39a51da66ecdc55f7adabacb3e65123e5c8215486140f3f10f4bdd87b78d4391

Observation 469c7df4-fa5a-4b94-bf96-37d11e3a86e7 · outbound

This paper cites Federated graph semantic and structural learning.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated graph semantic and structural learning

Reference 54

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source=pdf_text observed=2026-08-06T15:11:14.813461Z digest=sha256:6438666b58f567024e7fe1b34590769c162b011a51069f9d8bd69650b6c4e7cf

Observation eee52258-8a70-4d4f-9018-7f8ea8a7ac06 · outbound

This paper cites Subgraph federated learning with missing neighbor generation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Subgraph federated learning with missing neighbor generation,

Reference 55

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source=pdf_text observed=2026-08-06T15:11:14.818416Z digest=sha256:d171e71641128bd0d78e2594b8dd9881ee106a9f156a416f6fd51f8e2749a4cb

Observation 65480dc0-c702-454a-a04d-58f67cde7801 · outbound

This paper cites Deep efficient private neighbor generation for subgraph federated learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Deep efficient private neighbor generation for subgraph federated learning,

Reference 56

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source=pdf_text observed=2026-08-06T15:11:14.822910Z digest=sha256:1ed85dfa2ec43d7aebb550f5ab8c7569518daca941f90d7e426ea256952d0136

Observation d43ea898-72ba-4689-9cd5-de2dde664ca6 · outbound

This paper cites Model-heterogeneous federated graph learning with prototype propagation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Model-heterogeneous federated graph learning with prototype propagation,

Reference 57

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source=pdf_text observed=2026-08-06T15:11:14.827011Z digest=sha256:5b6e02f45347d1dd085c940310dab46a493d870fe5e67cebb3943ffa604ea6f0

Observation 6960a970-8191-453f-8c7d-c8f35db54893 · outbound

This paper cites Fedsg: A personalized subgraph federated learning framework on multiple non-iid graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedsg: A personalized subgraph federated learning framework on multiple non-iid graphs,

Reference 58

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source=pdf_text observed=2026-08-06T15:11:14.831208Z digest=sha256:2962c9770c63426f188f86de666419634379d607ba3beb48a83094b2f2706b9f

Observation dd191eb3-a72f-47bd-9d92-741f9c44f17c · outbound

This paper cites Federated graph learning with structure proxy alignment,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated graph learning with structure proxy alignment,

Reference 59

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source=pdf_text observed=2026-08-06T15:11:14.835458Z digest=sha256:98f7013f5d862239bf705d503bdda1c7de027cff7d84479d090ec1f919e36cb8

Observation ac7bde5b-e5ba-4037-9c82-49d1fe79945e · outbound

This paper cites Federated learning over coupled graphs,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated learning over coupled graphs,

Reference 60

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source=pdf_text observed=2026-08-06T15:11:14.840381Z digest=sha256:a666a0118ccf5e5c443240606d6de42b6e68bf77971b4ec0578d5722e2e49b14

Observation e132c7c6-2c15-4841-80ee-f839e0c18ae8 · outbound

This paper cites Hifgl: A hierarchical framework for cross-silo cross-device federated graph learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Hifgl: A hierarchical framework for cross-silo cross-device federated graph learning,

Reference 61

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source=pdf_text observed=2026-08-06T15:11:14.845152Z digest=sha256:472cac886f9864b7a284012400551d3976130708a8051bea28ee4648c97c8f09

Observation f7321dd4-fcc2-408b-9fb0-97c493aa68af · outbound

This paper cites Modeling inter-intra heterogeneity for graph federated learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Modeling inter-intra heterogeneity for graph federated learning,

Reference 62

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:11:14.849872Z digest=sha256:65085cfc586e602ba358681598128e7a12179bd3c927651d6b8ad0542004a475

Observation 3ffd5881-4136-4ce7-bb2f-467f8021c9e2 · outbound

This paper cites Federated graph condensation with information bottleneck principles,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated graph condensation with information bottleneck principles,

Reference 63

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source=pdf_text observed=2026-08-06T15:11:14.854915Z digest=sha256:861621d5ea17fbc20b48fd24d2bf036cac4a2b74c8d87fdeff9381d68692ae9c

Observation 40434be8-2e24-4e36-a728-5d5096f90b84 · outbound

This paper cites Locally Private Graph Neural Networks.

A Comprehensive Data-centric Overview of Federated Graph Learning Locally Private Graph Neural Networks

Reference 64

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:11:14.859531Z digest=sha256:bf2c972b83060acff736f07b90601969f1ee0a5f0138c36b68bca7ca39176bf9

Observation 279c73ad-ac6e-4460-8411-ce3c24e05f81 · outbound

This paper cites Fedwalk: Communication efficient federated unsupervised node embedding with differential privacy,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedwalk: Communication efficient federated unsupervised node embedding with differential privacy,

Reference 65

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source=pdf_text observed=2026-08-06T15:11:14.863936Z digest=sha256:161d9f149d83020251d969828a4eb9b8d4f977c9a0a29ee22935924892545064

Observation 5386d880-4c18-4338-b91e-4b5f5b95c4c3 · outbound

This paper cites Lumos: Heterogeneity-aware federated graph learning over decentralized devices,.

A Comprehensive Data-centric Overview of Federated Graph Learning Lumos: Heterogeneity-aware federated graph learning over decentralized devices,

Reference 66

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source=pdf_text observed=2026-08-06T15:11:14.868037Z digest=sha256:8a710c0307c65a8cf848319fcbc82316caa0fdee872a194844df6bc9d0a87fbd

Observation 0b59fa09-e6bc-443c-882c-0a95846b1859 · outbound

This paper cites Federated node classification over distributed ego-networks with secure contrastive embedding sharing,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated node classification over distributed ego-networks with secure contrastive embedding sharing,

Reference 67

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source=pdf_text observed=2026-08-06T15:11:14.873091Z digest=sha256:66ad94f766ce6f8ce0876bfaebe32dd1edad85d187fd941015a71a08250d91e2

Observation 846cd099-3b91-47df-b0e9-81cbed90c763 · outbound

This paper cites GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data.

A Comprehensive Data-centric Overview of Federated Graph Learning GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data

Reference 69

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:11:14.882245Z digest=sha256:d2ebd658e53731eaa318e170d8be259012e3481bcbe230011d6a40fd279d4a84

Observation e2200efc-4ea5-4d0f-b2e9-2d0f10e5cb60 · outbound

This paper cites Svfgnn: A privacy-preserving vertical federated graph neural network model training framework based on split learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Svfgnn: A privacy-preserving vertical federated graph neural network model training framework based on split learning,

Reference 70

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source=pdf_text observed=2026-08-06T15:11:14.887318Z digest=sha256:9ee81f5748944b2964b8f46ad26e21da24d1e070ede990ce4c3f6da6c5e3d851

Observation 10c6f55a-6819-47a4-98b5-c46a62b8a25d · outbound

This paper cites Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification.

A Comprehensive Data-centric Overview of Federated Graph Learning Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification

Reference 71

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source=pdf_text observed=2026-08-06T15:11:14.892908Z digest=sha256:6b15e7e29f7de40bb74696d633fa2dee934edc337a192a32ece4900867f9ee11

Observation 769bb0eb-a0fa-4e21-b2a7-d51a7988e5f1 · outbound

This paper cites Embedding representation of academic heterogeneous information networks based on federated learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Embedding representation of academic heterogeneous information networks based on federated learning,

Reference 72

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source=pdf_text observed=2026-08-06T15:11:14.898284Z digest=sha256:4646fe9ba6132508ad5e60d35720763502683e2f48af4adb861df9cd3b0e6916

Observation 6729b59b-3caa-4cc3-8888-970ab99e7168 · outbound

This paper cites Federated heterogeneous graph neural network for privacy-preserving recommen- dation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated heterogeneous graph neural network for privacy-preserving recommen- dation,

Reference 73

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source=pdf_text observed=2026-08-06T15:11:14.902548Z digest=sha256:3c8ea54cab8f75e332a2a0dd45d03cd2a0002451a12b80d68d1d0213cce2fe0b

Observation c54630c1-99f6-4664-bb43-0a760924b9e6 · outbound

This paper cites Fedhgn: A federated framework for heterogeneous graph neural networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedhgn: A federated framework for heterogeneous graph neural networks,

Reference 74

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source=pdf_text observed=2026-08-06T15:11:14.906977Z digest=sha256:2ad2c7e6c2238231d97b2ba58b42b723c26105c440d323145383eb6caabed02e

Observation e9c59c6f-7aba-4608-ab7e-a8d4b65c0e2b · outbound

This paper cites Self-simulation and meta-model aggregation based heterogeneous graph coupled federated learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Self-simulation and meta-model aggregation based heterogeneous graph coupled federated learning,

Reference 75

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source=pdf_text observed=2026-08-06T15:11:14.911510Z digest=sha256:c46780865d91a8b376810dda6941a0e96e2241311b236935239885e14f9befb7

Observation 26ce0a03-e22e-478b-9d77-f33b04d01b9a · outbound

This paper cites Horizontal federated heterogeneous graph learning: A multi-scale adaptive solution to data distribution challenges,.

A Comprehensive Data-centric Overview of Federated Graph Learning Horizontal federated heterogeneous graph learning: A multi-scale adaptive solution to data distribution challenges,

Reference 76

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source=pdf_text observed=2026-08-06T15:11:14.916151Z digest=sha256:48e3cd81c03fdf8d69fce2c3ddc19fc1d9120a0bb5c49da8c5ee824587a05075

Observation 86da7316-c8a3-43e1-955c-7b4a0d0839f6 · outbound

This paper cites Fedhgn: a federated framework for heterogeneous graph neural networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedhgn: a federated framework for heterogeneous graph neural networks,

Reference 77

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source=pdf_text observed=2026-08-06T15:11:14.920449Z digest=sha256:7d90850f497db4dd1447b9a196a783c1a354e11ed55ebc6712a1353d971e2681

Observation be41806b-6ecc-41a7-87d6-ed9199e187c2 · outbound

This paper cites FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation.

A Comprehensive Data-centric Overview of Federated Graph Learning FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation

Reference 78

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source=pdf_text observed=2026-08-06T15:11:14.925144Z digest=sha256:0246fa7fe5a65c42c5ac71bd681ae94786f4e38253225a22dbacc7a651f9bba7

Observation 022cb47f-afd4-4652-bf3c-84437f2b4d66 · outbound

This paper cites Splitgnn: Spectral graph neural network for fraud detection against heterophily,.

A Comprehensive Data-centric Overview of Federated Graph Learning Splitgnn: Spectral graph neural network for fraud detection against heterophily,

Reference 79

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source=pdf_text observed=2026-08-06T15:11:14.930270Z digest=sha256:a7037918efab3dc93353556e1416d666b4bcbf95c92c6c5756fa756c38242521

Observation 95e4cc9d-bdfb-4ffa-8088-c36687b45e51 · outbound

This paper cites Vertical federated graph neural network for rec- ommender system,.

A Comprehensive Data-centric Overview of Federated Graph Learning Vertical federated graph neural network for rec- ommender system,

Reference 80

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source=pdf_text observed=2026-08-06T15:11:14.935194Z digest=sha256:dc224fc108443243fb5e0801e308157b2d2d44696eae330feaef9b0762112fbd

Observation 1feebccc-7d05-41c6-87dd-c3164637d307 · outbound

This paper cites Meta-learning based knowledge extrapolation for knowledge graphs in the federated setting,.

A Comprehensive Data-centric Overview of Federated Graph Learning Meta-learning based knowledge extrapolation for knowledge graphs in the federated setting,

Reference 81

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source=pdf_text observed=2026-08-06T15:11:14.940458Z digest=sha256:a9fca3fb3f135de5223525f679f234d12bbd50aaf395537f90f9fd0c96640209

Observation 3b60ebeb-3f5c-420c-819b-cbc7fb101882 · outbound

This paper cites Federated knowledge graph completion via embedding-contrastive learning,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated knowledge graph completion via embedding-contrastive learning,

Reference 82

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Observation 87cf2c08-0694-4b5a-8c92-ac0a870f12dd · outbound

This paper cites Fedrule: Federated rule recommendation system with graph neural networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedrule: Federated rule recommendation system with graph neural networks,

Reference 83

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Observation 11b7783b-076b-4e4c-9852-288e18a1427b · outbound

This paper cites Fedcomp: A federated learning compression framework for resource-constrained edge computing devices,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedcomp: A federated learning compression framework for resource-constrained edge computing devices,

Reference 84

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Observation e3eadf14-52e9-4225-bda0-a02ca618be17 · outbound

This paper cites Fedge: Break the scalability limitation of graph neural network with federated graph embedding,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedge: Break the scalability limitation of graph neural network with federated graph embedding,

Reference 85

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Observation c6e4024a-21b7-449e-8e86-bd7e121e3409 · outbound

This paper cites Gfedkg: Gnn-based federated embedding model for knowledge graph completion,.

A Comprehensive Data-centric Overview of Federated Graph Learning Gfedkg: Gnn-based federated embedding model for knowledge graph completion,

Reference 86

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Observation 98cec825-054c-421f-8ad5-14d6574af3e5 · outbound

This paper cites Federated learning-based cross-enterprise recommendation with graph neural networks,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated learning-based cross-enterprise recommendation with graph neural networks,

Reference 87

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Observation b9dcfe6f-c373-45d2-8c8f-6e2f425cbea7 · outbound

This paper cites Fedrkg: A privacy-preserving federated recommendation framework via knowledge graph enhance- ment,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedrkg: A privacy-preserving federated recommendation framework via knowledge graph enhance- ment,

Reference 88

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Observation 34157885-7897-406a-a23e-789580719c40 · outbound

This paper cites Fedkgrec: privacy- preserving federated knowledge graph aware recommender system,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedkgrec: privacy- preserving federated knowledge graph aware recommender system,

Reference 89

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Observation b599407b-53ae-436a-9901-869c8ee351f1 · outbound

This paper cites Fgc: Gcn-based federated learning approach for trust industrial service recommendation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fgc: Gcn-based federated learning approach for trust industrial service recommendation,

Reference 90

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Observation fc08c435-e068-4fe9-859b-8f2e92ee7c1f · outbound

This paper cites Fdrs: Federated diversified recommender system based on heterogeneous graph convolutional network,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fdrs: Federated diversified recommender system based on heterogeneous graph convolutional network,

Reference 91

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Observation ed233a8f-62a4-4069-8cee-ce15e969d564 · outbound

This paper cites Fedfast: Going beyond average for faster training of federated recommender systems,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedfast: Going beyond average for faster training of federated recommender systems,

Reference 92

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Observation fed871c2-5420-4d51-a5a0-7acf38386a46 · outbound

This paper cites Fedrec: Federated recommen- dation with explicit feedback,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedrec: Federated recommen- dation with explicit feedback,

Reference 93

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Observation e7b9d3e5-ce15-4613-9de2-4345306fe7fa · outbound

This paper cites Communication-efficient federated recommendation model based on many-objective evolutionary algorithm,.

A Comprehensive Data-centric Overview of Federated Graph Learning Communication-efficient federated recommendation model based on many-objective evolutionary algorithm,

Reference 94

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Observation c3526078-f3d1-46ef-a82e-5bab292ea6b5 · outbound

This paper cites Edge- enabled federated sequential recommendation with knowledge-aware transformer,.

A Comprehensive Data-centric Overview of Federated Graph Learning Edge- enabled federated sequential recommendation with knowledge-aware transformer,

Reference 95

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Observation 45ca9a70-d51f-4f4e-b456-52c3533eec77 · outbound

This paper cites Fedpoirec: Privacy-preserving federated poi recommendation with social influence,.

A Comprehensive Data-centric Overview of Federated Graph Learning Fedpoirec: Privacy-preserving federated poi recommendation with social influence,

Reference 96

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Observation 6a7e2a19-b8b6-4a94-9a78-ecf9397681af · outbound

This paper cites Federated neural collaborative filtering,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated neural collaborative filtering,

Reference 97

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Observation 7fa8c7fc-5a85-4ba8-8de9-67adf9d40fa5 · outbound

This paper cites Federated learning based driver recommendation for next generation transportation system,.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated learning based driver recommendation for next generation transportation system,

Reference 98

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Observation 6007cb41-0117-4111-bac0-0db48a23186a · outbound

This paper cites Personalized federated recommendation via joint representation learning, user clustering, and model adaptation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Personalized federated recommendation via joint representation learning, user clustering, and model adaptation,

Reference 99

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Observation 7aae75f0-08a6-4758-9335-1d25a37cd596 · outbound

This paper cites Gpfedrec: Graph-guided personalization for federated recommendation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Gpfedrec: Graph-guided personalization for federated recommendation,

Reference 100

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Observation e07cd2b1-7546-4269-b391-ebd8ed581bb3 · outbound

This paper cites Perfedrec++: Enhancing personalized federated recommendation with self-supervised pre-training,.

A Comprehensive Data-centric Overview of Federated Graph Learning Perfedrec++: Enhancing personalized federated recommendation with self-supervised pre-training,

Reference 101

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Observation ff9f506e-2d64-4a5b-b3a5-517debfe4ebd · outbound

This paper cites Hetefedrec: Federated recommender systems with model heterogeneity,.

A Comprehensive Data-centric Overview of Federated Graph Learning Hetefedrec: Federated recommender systems with model heterogeneity,

Reference 102

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Observation f593e04b-1457-4d3b-b9c5-0aafef787005 · outbound

This paper cites Towards personalized privacy: User-governed data contribution for federated recommendation,.

A Comprehensive Data-centric Overview of Federated Graph Learning Towards personalized privacy: User-governed data contribution for federated recommendation,

Reference 103

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Observation 946c0442-8749-4089-a3ca-00fb9a536efb · outbound

This paper cites Federated Graph Learning for Cross-Domain Recommendation.

A Comprehensive Data-centric Overview of Federated Graph Learning Federated Graph Learning for Cross-Domain Recommendation

Reference 104

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Pith citing papers

Observation 696eb033-a292-4681-adaf-7096f0e8b46c · inbound

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

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning A Comprehensive Data-centric Overview of Federated Graph Learning

Reference 2

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arxiv_id, observed 2026-05-13T07:42:30.432959Z

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Observation 10867100-8e12-475a-ac04-b6eea3daa460 · inbound

MMFGU: Multimodal Federated Graph Unlearning cites this paper.

MMFGU: Multimodal Federated Graph Unlearning A Comprehensive Data-centric Overview of Federated Graph Learning

Reference 43

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Observation ea857860-3986-417e-9684-99fb62baff26 · inbound

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity cites this paper.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity A Comprehensive Data-centric Overview of Federated Graph Learning

Reference 103

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