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Paper Citation Record · LEDGER

A Comprehensive Data-centric Overview of Federated Graph Learning

As of 7 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 2026-08-07T06:34:17.273281+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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source=pdf_text observed=2026-08-06T15:11:14.756839Z digest=sha256:837152d82f4894be5837fc4e8a75a19c04ae271a3c941765c80220f9be8e4e08

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=sha256:90988bd3f19b25c898f25037428961a9a9958c9c6f3339349109761671c5e3ce

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=sha256:218fd0c5ac0a4ff893611bdeb3ae934c104e85de3ad4e3318f5e6273b6cd3213

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:e6c2bb1eddc48a44dfa6051205651f70f23d742930892889bc01094101e859ef

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:aae8278367c5fef39a94fc34dc1aaa7c06bd5b9fe99a2eaff4dac983bbce72d8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:11:14.781109Z digest=sha256:742b041ec018ff0f8b3468767591a95e1d8057e86d84843a71e9b3ac0ccdc673

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=sha256:716683f49c73021b320b46e1650e968330e1aa793efb98185e02f2361ce7ab82

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:dde2c763cbe0393310e0d3ed548ed8fce1d54d57fa264eb0a51e09ea50f74e82

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=sha256:1405648c3cf00eb44be2f8c0feb0dd791ada1ddff12950e49f7de9fa828cd26d

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:b280dc4df49b3fa747fd3f7c5da8e77cc14daf928afb38f66a1412dce9f38ab0

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:eaba5736acb92093d14f36afac7f07a62ae8893a6c27b26d5da8abea084421e6

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=sha256:057f34271c3e2422fdf12b238eb7666499c631025fee38ca060e6ecd12780047

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=sha256:53e6d0857cff8fd588f999066ee275aadda700e36891b8562aa31dccfcdfba7a

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=sha256:9427621d3aa75561e68ec0a454af1adbdc42ffe6fdc1e2d091d99a9c7f718a9b

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:aa25bec552119d8754809602fdf3c3f7b7b5e25c4ac1a0d8696c189f93447e15

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=sha256:76d1f1ec263dc298e9ea26b31aba6d81d770b417488155cca313766084e068e3

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=sha256:62f36d584768f06b4687b07caab1cb18042c96397e037f896af2aeee649021ac

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=sha256:2f0d0fc02ace50e1e251c2949250ed4afe3370307c63da9a5746b0256d731121

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=sha256:59c70eff73f104a2bb786a52536229180d1cf1775b823a64841d61d4d463453b

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=sha256:4af04082b548fd4060a74b8e2a942830cbcbff4275677181bad4a4290b0074d8

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:b941cf1692fa37b98f556e4240bb4a3f1f7c9f29a0847b8716cd4577b4a0f1bb

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:11:14.854915Z digest=sha256:4389782991be4f3316d392902c779fb5a558cb931a81d871a2ac436d0b30535f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:11:14.859531Z digest=sha256:fe28dc616911ed5bca334cb27806f99968ace3be4f758df46ad10554d61b7433

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:f821552d06a068d28e29c7ef2e929a6a170100a436a362ac7dc3e0cb7daf6ab9

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=sha256:128b39be8f0c5bd9b6a531a94134a029ba0ac6259fd7adb8812c2daa0fdf92ca

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:de28c16a8934b4ae8f78e38c0866d7a84bc8f7160f96aa3593139407f5af246b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:11:14.882245Z digest=sha256:d02df9634a6ab84b8e48ad18c55e5a5275a0833da4029fb08cb31d2b037a7c88

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=sha256:229d0280617e6d629319cd5cad25a6ab641ee2b386620b70e802518a759b51a8

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=sha256:0d78c29a0811919f860cf03826e6dfa2d0ebd7224d2481d0fa3213b7da7fa61e

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:c58b1ecd7e908c66b3e2ea6c4227b98bb63cbdab9601f5ff126f1a9edb7767fd

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=sha256:2eb3ff85eafc95634048bf64b1d686f834b347d05980cb7736daebf1c7410d22

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=sha256:9f4b024c9f61ea95247dad552b74a32f84ddcaa01bcc31ab9800d1e19328d0b5

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=sha256:70e6c580ae3fc1eb861d1f3c39225607a513b80e3b8e7d818482dc63e397540a

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=sha256:36e347311a913dfffef7f2d2c4c2d7dce7cc43d2ba9e4e9c9d15dbcc64eb9c19

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=sha256:126be821f2e87fcdc862095dd90968be992b97743cc78300afe20a84064e3269

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-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:11:14.925144Z digest=sha256:ab784544f5017d6158ab7f70b1e3ae340b3a1e5744ff76fa07b04e9a95096d62

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:11:14.930270Z digest=sha256:b5c77f5c7c9695887264909e33221a0ff3a25f1fdc2f5a9420f6fa8b39b27381

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=sha256:24620d2126fb2dda1b456312350923738243fcbc664c0dd12dbc0f5f6691129b

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=sha256:436b9e358af8698e5af7f4084ee1e39780f4d4680576a9e6a4dae3af596426dd

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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source=pdf_text observed=2026-08-06T15:11:14.944994Z digest=sha256:5de5f5ce8b52a70298049310a4be23e7448fc902991650e1161fe77582e435cf

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

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:11:14.949703Z digest=sha256:1b55e7d63f19384292d2f15beaf7d8b7adcf3ded72d066d1b54adc9a6816822c

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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source=pdf_text observed=2026-08-06T15:11:14.954024Z digest=sha256:94a61cc8b628df3552c0c466064f5fde3a0fb2179450e975efd2ec5b512e68d3

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=sha256:6e749bb0ffc83f9651dff7d10c8c4e2abf114c807dafb1fbf2726ab1c69ac440

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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source=pdf_text observed=2026-08-06T15:11:14.967958Z digest=sha256:32eac3a08c720fc5d7e0ebb0d0756ee9b4508586579741e551e8be9990887a25

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:d22013ca296761b2361ff5e9f0201d0bbfca2464267048591a671b722586d85e

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=sha256:4bf05dabf471cce66a2a59080da5e81df840083bdc0473a1366a90efc5953a86

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:b980ea0e5adadfcfc663ea9e57d778704aa58f74af344252caac1cd61d8a99ea

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=sha256:946d3ac2b0b8aa24dd5862f2c2dbb20833652bf56b07c09aaea5372076fe7782

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:ade86f2689516879f02c66e1baeb6b57eaad64c603e2dba0c3193638de688656

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:c21efd07ca01c744b71941889212ae200efc07c1e6ec509f5ac12f360b094486

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:c43ba643da3a2c9804a8551dc9e8c7d001f12bac7977d140487cba393288dad0

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=sha256:49ba9452face759643820e77391541c0679a7c99ac1959cf90a3da938e9c7cdf

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=sha256:63e882cfc5f98350f4974ae27e54a86554a03904ebdcc3706bb6be34b160ba42

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=sha256:8beb8154c0ff76772cefc3d15de878cdb6dc38ca6cf31fb1ef277799d4ce6577

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:bd7730d1038f5f9242c324d28e97b45714e8b0d527ef4b8171dcbfa660de6b1f

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:a915f02521fbc3d2126f13660a65a3b30983f4a6273e43f7d64604a31d8e8a58

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=sha256:0eb1f130be6d5ff04d0069979717e84d970815697728559d1fb03a2698f0a501

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=sha256:8d2075ca56b16824a2e159527cc1a19f8be9e8c72857195d821e51d942a7cf7f

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=sha256:285be034689c5ac2f5d6f78be4f65556d90ec6597216e7a3e92224175bae5c38

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=sha256:00eebe3dfc249069539b8c8c90883bc8036f7d99ec03a602bfee95cd431f8e9e

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:c60a26ad8794ef4afdb8eba61e05029f931c8d0e3ba29ec10696946f3b0172f1

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

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T07:41:51.513934Z digest=sha256:76e841db90528153dca3060894e19ede869a7827cb55c9c6611ebbec38647fb0

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:bdf69f91080649319cdecca1f6368468577ac332f07f2fb0c18e08e75c1adf0c

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=sha256:3c03a702b2b796fcf34cedd282c1b12b2e43e33ae0efe15e0fdfc58ae6c5cf89