BI-FedGNN: Federated graph neural networks framework based on Bayesian inference

Author:

Gao Rufei,Liu ZhaoweiORCID,Jiang Chenxi,Wang Yingjie,Wang ShenqiangORCID,Wang Pengda

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference52 articles.

1. Configuration models as an urn problem;Casiraghi;Scientific Reports,2021

2. Meta-relation assisted knowledge-aware coupled graph neural network for recommendation;Chang;Information Processing & Management,2023

3. Personalized federated learning with a graph;Chen,2022

4. Vertically federated graph neural network for privacy-preserving node classification;Chen,2022

5. Multi-scale receptive fields: Graph attention neural network for hyperspectral image classification;Ding;Expert Systems with Applications,2023

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Graph generative adversarial networks with evolutionary algorithm;Applied Soft Computing;2024-10

2. Graph Structure Learning With Automatic Search of Hyperparameters Based on Genetic Programming;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

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