Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics | Paper Citation Record

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This paper cites Graph convolutional neural networks for web- scale rec- ommender systems,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Graph convolutional neural networks for web- scale rec- ommender systems,

Reference 1

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This paper cites Measurement and analysis of online social networks,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Measurement and analysis of online social networks,

Reference 2

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This paper cites Representation Learning on Graphs: Methods and Applications.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Representation Learning on Graphs: Methods and Applications

Reference 3

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This paper cites He teroge- neous graph neural network,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics He teroge- neous graph neural network,

Reference 4

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This paper cites Simplifying graph convolutional networks,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Simplifying graph convolutional networks,

Reference 5

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This paper cites Deepgcns: Can gcns go as deep as cnns?.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Deepgcns: Can gcns go as deep as cnns?

Reference 6

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This paper cites Federated lea rning-based cross-enterprise recommendation with graph neural networ ks,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Federated lea rning-based cross-enterprise recommendation with graph neural networ ks,

Reference 7

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This paper cites Fedgcn: Converg ence- communication tradeoffs in federated training of graph con volutional networks,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Fedgcn: Converg ence- communication tradeoffs in federated training of graph con volutional networks,

Reference 8

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

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data

Reference 9

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

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation

Reference 10

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This paper cites Enhan cing federated learning with in-cloud unlabeled data,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Enhan cing federated learning with in-cloud unlabeled data,

Reference 11

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This paper cites Fedm p: Federated learning through adaptive model pruning in heter ogeneous edge computing,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Fedm p: Federated learning through adaptive model pruning in heter ogeneous edge computing,

Reference 12

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This paper cites Federated learni ng for vision-and-language grounding problems,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Federated learni ng for vision-and-language grounding problems,

Reference 13

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This paper cites Peaches: Pers onalized federated learning with neural architecture search in edge computing,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Peaches: Pers onalized federated learning with neural architecture search in edge computing,

Reference 14

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This paper cites The structure and function of complex net works,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics The structure and function of complex net works,

Reference 15

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This paper cites Clayden, N.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Clayden, N

Reference 16

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This paper cites Social network analysis: An in troduction,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Social network analysis: An in troduction,

Reference 17

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This paper cites Towards communi cation- efﬁcient federated graph learning: An adaptive client sele ction perspec- tive,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Towards communi cation- efﬁcient federated graph learning: An adaptive client sele ction perspec- tive,

Reference 18

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This paper cites Federated Learning with Non-IID Data.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Federated Learning with Non-IID Data

Reference 19

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Observation c9b3b9df-51a5-4a40-aefc-000e56f6473d · outbound

This paper cites Non-iid transfer learni ng on graphs,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Non-iid transfer learni ng on graphs,

Reference 20

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This paper cites Fine- tuning global model via data-free knowledge distillation for non- iid federated learning,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Fine- tuning global model via data-free knowledge distillation for non- iid federated learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:11.169802Z

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Observation 6bff7ada-0ba6-4fb1-98f8-aa83c15df88c · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics On the Convergence of FedAvg on Non-IID Data

Reference 22

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

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Federated graph cla ssiﬁcation over non-iid graphs,

Reference 23

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Observation 7ef90cea-a450-4619-a6e2-0fc0f73cc39b · outbound

This paper cites Fed erated learn- ing on non-iid graphs via structural knowledge sharing,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Fed erated learn- ing on non-iid graphs via structural knowledge sharing,

Reference 24

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This paper cites Federated Graph Semantic and Structural Learning.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Federated Graph Semantic and Structural Learning

Reference 25

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This paper cites Fedgraphnn: A federated learning benchmark system for graph neural networks,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Fedgraphnn: A federated learning benchmark system for graph neural networks,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:11.135715Z

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Observation e8cbccc7-4aef-452a-9492-fab37c7b0daa · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Semi-Supervised Classification with Graph Convolutional Networks

Reference 27

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This paper cites Inductive repre sentation learn- ing on large graphs,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Inductive repre sentation learn- ing on large graphs,

Reference 28

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

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Communication-efﬁcient learning of deep networks from de centralized data,

Reference 29

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This paper cites Ligra: a lightweight graph p rocessing frame- work for shared memory,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Ligra: a lightweight graph p rocessing frame- work for shared memory,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:11.101252Z

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This paper cites Optimizing graph algorithm s on pregel-like systems,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Optimizing graph algorithm s on pregel-like systems,

Reference 31

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This paper cites Scalable gpu g raph traver- sal,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Scalable gpu g raph traver- sal,

Reference 32

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This paper cites Neural message passing for quantum chemistry,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Neural message passing for quantum chemistry,

Reference 33

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

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Graph neural networks: A review of methods and appli cations,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:11.048033Z

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This paper cites The non- iid data quagmire of decentralized machine learning,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics The non- iid data quagmire of decentralized machine learning,

Reference 35

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This paper cites Netgan: Generating graphs via random walks,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Netgan: Generating graphs via random walks,

Reference 36

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This paper cites Adaptive Federated Optimization.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Adaptive Federated Optimization

Reference 37

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This paper cites Random w alks: A review of algorithms and applications,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Random w alks: A review of algorithms and applications,

Reference 38

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This paper cites Fast random walk w ith restart and its applications,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Fast random walk w ith restart and its applications,

Reference 39

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This paper cites On the Vertex-Degree-Function Indices of Connected (n,m)-Graphs of Maximum Degree at Most Four.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics On the Vertex-Degree-Function Indices of Connected (n,m)-Graphs of Maximum Degree at Most Four

Reference 40

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This paper cites Unifying pac a nd regret: Uniform pac bounds for episodic reinforcement learning,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Unifying pac a nd regret: Uniform pac bounds for episodic reinforcement learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:10.987280Z

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This paper cites Trust Region Policy Optimization.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Trust Region Policy Optimization

Reference 42

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This paper cites Proximal Policy Optimization Algorithms.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Proximal Policy Optimization Algorithms

Reference 43

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This paper cites Finite-time analysis of the multiarmed bandi t problem,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Finite-time analysis of the multiarmed bandi t problem,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:10.975959Z

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This paper cites A Survey on Contextual Multi-armed Bandits.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics A Survey on Contextual Multi-armed Bandits

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-11T04:28:10.728834Z

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This paper cites A context ual-bandit approach to personalized news article recommendation,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics A context ual-bandit approach to personalized news article recommendation,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:10.963742Z

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This paper cites How Powerful are Graph Neural Networks?.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics How Powerful are Graph Neural Networks?

Reference 47

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This paper cites Federated optimization in heterogeneous networks,.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Federated optimization in heterogeneous networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:28:10.951566Z

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This paper cites Adam: A Method for Stochastic Optimization.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics Adam: A Method for Stochastic Optimization

Reference 49

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This paper cites On the Convergence of Adam and Beyond.

Enhancing Federated Graph Learning via Adaptive Fusion of Structural and Node Characteristics On the Convergence of Adam and Beyond

Reference 50

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