huweibo / Awesome-Federated-Learning-on-Graph-and-GNN-papers
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
☆330Updated last year
Alternatives and similar repositories for Awesome-Federated-Learning-on-Graph-and-GNN-papers:
Users that are interested in Awesome-Federated-Learning-on-Graph-and-GNN-papers are comparing it to the libraries listed below
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆180Updated last year
- My future research☆407Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆74Updated 3 years ago
- Official Code for FedGCN [NeurIPS 2023]☆59Updated last month
- code of FedGNN☆86Updated 2 years ago
- A project for collecting and showing the current research progress of FedRec☆139Updated last year
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆61Updated 2 years ago
- ☆21Updated 2 months ago
- Locally Private Graph Neural Networks (ACM CCS 2021)☆45Updated last year
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆66Updated 3 years ago
- IJCAI-Personalized Federated Learning with Graph☆51Updated last year
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆41Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks (GNNs) under federated (distributed) set…☆34Updated this week
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆45Updated 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 last year
- Code for Federated Social Recommendation with Graph Neural Network☆25Updated 2 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆45Updated last year
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆16Updated last year
- ☆62Updated 5 years ago
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆45Updated last year
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆42Updated last year
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆293Updated 2 years ago
- A collection of research papers on Federated Recommender Systems.☆56Updated 4 months ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated 2 years ago
- Paper List for Fair Graph Learning (FairGL).☆134Updated 5 months ago
- ☆111Updated 3 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆579Updated 11 months ago
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆23Updated 2 years ago
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆750Updated 6 months ago