zkhku / fedsage
Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
☆72Updated 3 years ago
Alternatives and similar repositories for fedsage:
Users that are interested in fedsage are comparing it to the libraries listed below
- Official Code for FedGCN [NeurIPS 2023]☆60Updated last month
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆60Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆40Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆45Updated last year
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆45Updated 2 years ago
- ☆11Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆49Updated last year
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆180Updated last year
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆65Updated 3 years ago
- code of FedGNN☆85Updated 2 years ago
- ☆31Updated last year
- ☆15Updated 5 months ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆42Updated last year
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆22Updated last year
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆16Updated last year
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆326Updated 10 months ago
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks (GNNs) under federated (distributed) set…☆32Updated this week
- Code for Federated Social Recommendation with Graph Neural Network☆24Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆45Updated last year
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- ☆9Updated 2 years ago
- Code for ijcai-23 paper "Dual Personalization on Federated Recommendation"☆24Updated 5 months ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆22Updated 3 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆56Updated last year
- ☆22Updated 2 years ago
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆21Updated last year
- A collection of research papers on Federated Recommender Systems.☆54Updated 2 months ago
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆22Updated last year
- This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated mann…☆17Updated 4 years ago
- ☆20Updated last month