FedML-AI / FedGraphNNLinks
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
☆181Updated last year
Alternatives and similar repositories for FedGraphNN
Users that are interested in FedGraphNN are comparing it to the libraries listed below
Sorting:
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆345Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆82Updated 3 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆47Updated 3 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆44Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆69Updated 8 months ago
- code of FedGNN☆92Updated 3 years ago
- My future research☆414Updated 2 years ago
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆49Updated 2 years ago
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆70Updated 3 years ago
- A project for collecting and showing the current research progress of FedRec☆140Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆57Updated this week
- Locally Private Graph Neural Networks (ACM CCS 2021)☆49Updated 3 months ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆68Updated 2 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆20Updated 5 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆49Updated 2 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆72Updated 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
- This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated mann…☆17Updated 5 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆22Updated 2 years ago
- Data and code of our paper "Privacy-Preserving News Recommendation Model Learning"☆39Updated 3 years ago
- IJCAI-Personalized Federated Learning with Graph☆55Updated 2 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆53Updated 2 months ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆20Updated 2 years ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆13Updated 2 years ago
- A collection of graph data used for semi-supervised node classification.☆40Updated 3 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
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Updated 2 years ago
- Source code for Learn Locally Correct Globally☆14Updated 3 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆96Updated last year
- ☆11Updated 3 years ago