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Paper Citation Record · LEDGER

A Comprehensive Data-centric Overview of Federated Graph Learning

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:00f08b04f2bfce0c7c9c760a6a92564bb476c5ffdaa272a65912177da8650fd9

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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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:fff3b2cca23b502a11f43a32bff29bdff5d1a72f59353eaafe7a2bc38d7dfff0

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:d9dbf083d0b8516abc8457ba26a9ad9bc893401f0a5a8b371173b138f8b11eeb

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

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source=pdf_text observed=2026-08-06T15:11:14.781109Z digest=sha256:57cb7a80685b31cbc7220604df6f80856718029a1b2bb9dbe6580e9035c11a13

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=sha256:7fc57f07728ca9dfc64c55706867a240949602f3a9a59ad4a0b9a0630ed009c0

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:fa92b1a31dc9b8718438a9549f6150747703d683d6ff04a35b6e87f93eb3f452

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=sha256:5640f67b1001d3705efdd5b56ddd19d7aaab0df811c771be5a67c67a571bfc95

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=sha256:882d5ab4ae5b41e86e41a523aee6964d782f91be78189719908086f34945d658

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:d04b77ec0c168a917c6691cdc44a518b15bd8e7ee2c7858d1acf9a283c235e51

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:fac90ad09dc7c00672a7f291a8f1fda41184d59b673e0570098a7b7c701f35a1

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:e6dd51c68c189ced5241bf5c210b61c2460fc672ffc5ab15a39f5d4a9a8d5318

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=sha256:33b97eb0904f935a27c001371b6d1ee3bd180251906a0dc3695dcb345dc21d9b

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:d2f0b852801ce2e9bfb10e02f43faf86299b345c2ab05168a6096ab32f6d25dd

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=sha256:3f233f398bcb4c407c623816f37712d57717fc413436968e9ef374549054880f

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=sha256:4d02157afa37d2c835329d09dd8f1627086265520c9b0644d7884e05d81fdba2

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=sha256:0c3c5fe6fdc5824ad6b4684035c6a550dd757449f67fc9ce99e0e7e3bcd792ea

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=sha256:8d00dae4e13c96ac14b44bf0ac154c7b5abb93418141ad17a89b0db84ca79882

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=sha256:4fe4b6dad91077c5e04b66312f134acd51c9d4c67bc565bf158aa13318cdcc80

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=pdf_text observed=2026-08-06T15:11:14.849872Z digest=sha256:c5379bec3bec8d6ad46c23c91e41b9102bf34041e46af2faf95b4ffa87ac1b80

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=sha256:4996d6520a49735d842cb14571dcb1e9420279faea65e3bace8aff8f4877b01e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:11:14.859531Z digest=sha256:a0efd1f7346656ad12528b53b357196b1e426b0bf7346eb7a600347ef8cdf227

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=sha256:0e9b48788f155b66468db692a1aced1f06909b06eb17670b250512d7770372a3

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=sha256:61c3a917b11e70b6ec8c33f9b5064620b56a89f2513a87686baf86c97c0606ed

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=sha256:977115da0b2204d7c3b7a61e2ba44f1fe941f6a18eb5fb9d8d2c4ed9b0f94228

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:11:14.882245Z digest=sha256:3253d38d6d66e473ff586255d45bf922b14b698c51e1294aed874acc581b1b63

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=sha256:62a8b20ef83a4ac53c6aecc8c606fafa106267d9f7b7a74823afd27bab5c6b8e

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=sha256:04fdfdde5546ed3a1284b0f35d80a290825ff5bbbfb70c78c19462d4389a8714

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:a3d42d1e6af76cc6924078319bd321225796b00fd9277374991aa380bb320626

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=sha256:1056c9ae74d98250e57bf7c95ae5a8617138914aa0421d0d0990956b6abd1a52

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:ca853604fb0d8df186c62e59a060486179180031bfa7edeb8f86ec5c78328afc

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=sha256:9bce9cc7ada832361c828db754398985557960dce60da627272cb209314c3105

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=sha256:97ae65dd970c00bb385ae38bb4623afe74688b0a09c44cbf592eb2a4559a4d67

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:b6b22409a11ef03f6cbf7f8b1d248225eafbd7ab07d121d4a2e68753b9cc4bf8

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:abf829e5644a9c3bba95a142b8880bfcdb17e100547de36d6df06b7af6c05b7e

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=sha256:3ecf8673c272e09c4381bb7f237d6537a75079681903744c4c95be0ac796575b

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=sha256:51dfc8d05390182103e558177c30dd2e0ee1b76491a67946fa17aeef33534a9a

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=sha256:4da763efbdd8cf682ed0a65842a106be38c0ffa6dd4a0c81e9a83a36cd8213cb

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:11:14.949703Z digest=sha256:01d2c13122ab2e0093d448f9f1abdf0a3312a5f2104a77b69a16c5fd6b33c0f5

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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source=pdf_text observed=2026-08-06T15:11:14.958732Z digest=sha256:0c3407685c9d1fb464a2b57e97f8484a4a2ff874fcb9559aab949a7455a88197

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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source=pdf_text observed=2026-08-06T15:11:14.972622Z digest=sha256:51f35387bd071e17f2179ebbf6f94fe0f01a46c76d72fd1499dcd3d3b87f2231

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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source=pdf_text observed=2026-08-06T15:11:14.977010Z digest=sha256:873ed805734b803aeda5082999e46e02341acaafdb73bf61e5b9fcea84b82a5d

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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source=pdf_text observed=2026-08-06T15:11:14.981829Z digest=sha256:a300466d1640ad06385eef616bd7253d61655c8922544b759ae3fa0513ad37c6

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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source=pdf_text observed=2026-08-06T15:11:14.986419Z digest=sha256:472778264b5ba49dc99c7b75e2dd1e49ee078a7de99c747065e188aca5fbf7ed

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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source=pdf_text observed=2026-08-06T15:11:14.991158Z digest=sha256:e6997c8d002f663b43b6ad774534f0399b316ec4811d89f4dc2b38fc254f1add

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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source=pdf_text observed=2026-08-06T15:11:14.995913Z digest=sha256:db56025416c4732fb0254fbd40fa5e5c691595970cb03d5003097c20703cae1d

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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source=pdf_text observed=2026-08-06T15:11:15.000123Z digest=sha256:659e561eba061e936a881b3ea0a2998ffeb861f66035da6e2748080bef854496

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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source=pdf_text observed=2026-08-06T15:11:15.004443Z digest=sha256:eceb86842f6f3d80bf7b241be38bef287b38de0c4675cf8aa5c276982651d043

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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source=pdf_text observed=2026-08-06T15:11:15.008673Z digest=sha256:aff62ecee4fd1c2e719137f182280d4720c2ce3f19b606bbe2c37bda0ac777e8

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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source=pdf_text observed=2026-08-06T15:11:15.013117Z digest=sha256:d056cf750e669b54f6e9fc727715a0ac90eca0fd1f216b53c12add9e93e6d271

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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source=pdf_text observed=2026-08-06T15:11:15.017126Z digest=sha256:aed609fa45f1abe0e02e4cdd03c71dd01a04dc5cb8af73ce83412d62dba83a99

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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source=pdf_text observed=2026-08-06T15:11:15.021211Z digest=sha256:646095795a39297ea3bf17f9b69e2e5b55d6f5fc860c7b094ca7e2a76188c4fc

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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source=pdf_text observed=2026-08-06T15:11:15.025624Z digest=sha256:8e8a3245dcef055b95224bda5b0f7cd6df5e9fe8b5d82e55ea3969484dc65d51

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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source=pdf_text observed=2026-08-06T15:11:15.030118Z digest=sha256:c279aaf53b6742f74b218a21f756cabfb1892cabf74b0d4d9de30004a15095da

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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source=pdf_text observed=2026-08-06T15:11:15.034359Z digest=sha256:2c931c9375d8b2eb37f3dc5ac9b2e3f6a55d04e1cd936f8f811010da4755558c

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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source=pdf_text observed=2026-08-06T15:11:15.038834Z digest=sha256:67a4d2542ddb0fb170464f59daffa2d6c1225d48aeec5c2e7de5ffaab722e2b6

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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source=pdf_text observed=2026-08-06T15:11:15.043247Z digest=sha256:f80c9e63970d92ea7ea0167f6864a4db4bcc93302a43bb84cb67890989ddcdf2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T07:41:51.513934Z digest=sha256:745617e81c388d6f8ceda06b8f6e2459934e2d706357742aa80ef811a4d6edde

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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source=arxiv_source observed=2026-08-03T00:40:03.206406Z digest=sha256:564989d76a588e2720a64f0535e67834eba6b803ab1be7245c527feb843c4ab6

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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source=arxiv_source observed=2026-08-05T00:38:04.437923Z digest=sha256:c0e47e5c03eec5f90172e8c7a168f67f8cd4f6455b8aa1a191692369b033644c