FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks | Paper Citation Record

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks , " * write output.state after.block = add.period write newline

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks write newline

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

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This paper cites B.; Patel, S.; Ramage, D.; Segal, A.; and Seth, K.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks B.; Patel, S.; Ramage, D.; Segal, A.; and Seth, K

Reference 4

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

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This paper cites How Attentive are Graph Attention Networks?.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks How Attentive are Graph Attention Networks?

Reference 6

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

Reference 7

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This paper cites M.; Bruna, J.; LeCun, Y.; Szlam, A.; and Vandergheynst, P.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks M.; Bruna, J.; LeCun, Y.; Szlam, A.; and Vandergheynst, P

Reference 8

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

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks FedGL: Federated Graph Learning Framework with Global Self-Supervision

Reference 9

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks FedGraph: Federated Graph Learning with Intelligent Sampling

Reference 10

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 11

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 12

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This paper cites Adaptive Personalized Federated Learning.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Adaptive Personalized Federated Learning

Reference 13

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 14

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks The proximal point method revisited

Reference 15

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization

Reference 16

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 17

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 18

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 19

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This paper cites Inductive Representation Learning on Large Graphs.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Inductive Representation Learning on Large Graphs

Reference 20

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

Reference 21

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Deep Convolutional Networks on Graph-Structured Data

Reference 22

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 23

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 24

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Open Graph Benchmark: Datasets for Machine Learning on Graphs

Reference 25

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Heterogeneous Graph Transformer

Reference 26

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 27

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Adam: A Method for Stochastic Optimization

Reference 28

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Semi-Supervised Classification with Graph Convolutional Networks

Reference 29

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 30

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks DeepGCNs: Can GCNs Go as Deep as CNNs?

Reference 31

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Federated Optimization in Heterogeneous Networks

Reference 32

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks On the Convergence of FedAvg on Non-IID Data

Reference 33

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 34

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 36

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning

Reference 37

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Adaptive Federated Optimization

Reference 38

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 39

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 40

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization

Reference 41

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Distributed Graph Neural Network Training: A Survey

Reference 42

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 43

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Towards Federated Graph Learning for Collaborative Financial Crimes Detection

Reference 44

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 45

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks N.; Kaiser, L

Reference 48

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Graph Attention Networks

Reference 49

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling

Reference 50

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 51

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

Reference 52

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks M.; Cheng, Z.; Chen, L.; Joe-Wong, C.; and Liu, T

Reference 53

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 54

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 55

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Subgraph Federated Learning with Missing Neighbor Generation

Reference 56

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FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks GMAN: A Graph Multi-Attention Network for Traffic Prediction

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:51:16.360752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation efa63a50-2f1e-4eb6-9656-d6e4e0fc7c4c · outbound

This paper cites an unresolved cited work.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:51:16.676320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c8974383-456d-411e-a242-a24e018b7236 · outbound

This paper cites an unresolved cited work.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-11T10:51:16.666162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 634d7ade-7d8b-47cc-8f8f-3067bd22c701 · outbound

This paper cites ASFGNN: Automated Separated-Federated Graph Neural Network.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks ASFGNN: Automated Separated-Federated Graph Neural Network

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-11T10:51:16.345765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers