IsuruMaduranga / federated-gcnLinks
This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated manner on distributed graph databases
☆17Updated 5 years ago
Alternatives and similar repositories for federated-gcn
Users that are interested in federated-gcn are comparing it to the libraries listed below
Sorting:
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆182Updated last year
- Official Code for FedGCN [NeurIPS 2023]☆70Updated 9 months ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆82Updated 3 years ago
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆345Updated last year
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆70Updated 4 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆44Updated 2 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆47Updated 3 years ago
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆58Updated 3 weeks ago
- IJCAI-Personalized Federated Learning with Graph☆55Updated 2 years ago
- My future research☆415Updated 2 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆68Updated 2 years ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 3 months ago
- code of FedGNN☆93Updated 3 years ago
- ☆11Updated 2 years ago
- ☆26Updated 5 years ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆23Updated 4 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Updated 2 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆145Updated 6 years ago
- vertical federated learning paper lists☆77Updated 4 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆22Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆17Updated 2 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆23Updated 2 years ago
- ☆11Updated 3 years ago
- Unofficial Pytorch implementation of "Federated Meta-Learning with Fast Convergence and Efficient Communication"☆77Updated 5 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆21Updated 5 years ago
- ☆17Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆50Updated 2 years ago
- ☆22Updated 3 years ago
- tf implementation of federated learning☆42Updated 6 years ago