Towards heterogeneous federated graph learning via structural entropy and prototype aggregation

This publication has 11 references indexed in Scilit:

• Auto-weighted Graph Reconstruction for efficient ensemble clustering
  Information Sciences, 2024
• Mitigating data imbalance and generating better prototypes in heterogeneous Federated Graph Learning
  Knowledge-Based Systems, 2024
• EGRC-Net: Embedding-Induced Graph Refinement Clustering Network
  IEEE Transactions on Image Processing, 2023
• Auto-weighted orthogonal and nonnegative graph reconstruction for multi-view clustering
  Information Sciences, 2023
• Automated Graph Neural Network Search Under Federated Learning Framework
  IEEE Transactions on Knowledge and Data Engineering, 2023
• Federated Graph Machine Learning
  ACM SIGKDD Explorations Newsletter, 2022
• Communication-efficient federated learning via knowledge distillation
  Nature Communications, 2022
• Generative adversarial networks
  Communications of the ACM, 2020
• A Comprehensive Survey on Graph Neural Networks
  IEEE Transactions on Neural Networks and Learning Systems, 2020
• Structural Information and Dynamical Complexity of Networks
  IEEE Transactions on Information Theory, 2016