Stars
IJCAI-Personalized Federated Learning with Graph
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
[ICML 2023] Linkless Link Prediction via Relational Distillation
Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
A custom RPC framework implemented by Netty+Kyro+Zookeeper.(一款基于 Netty+Kyro+Zookeeper 实现的自定义 RPC 框架-附详细实现过程和相关教程。)
[NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch
This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.
Personalized federated learning codebase for research
FedMD: Heterogenous Federated Learning via Model Distillation
[AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)