Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
☆347Feb 21, 2024Updated 2 years ago
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
Sorting:
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆70Oct 18, 2021Updated 4 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆83Dec 10, 2021Updated 4 years ago
- Official Code for FedGCN [NeurIPS 2023]☆75Jan 18, 2025Updated last year
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆183Dec 19, 2023Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆45Jun 8, 2023Updated 2 years ago
- My future research☆415Jun 10, 2023Updated 2 years ago
- Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)☆1,952Oct 5, 2025Updated 5 months ago
- An easy-to-use federated learning platform☆1,516Aug 10, 2024Updated last year
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆49Aug 24, 2022Updated 3 years ago
- Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond☆2,067May 30, 2024Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆70Oct 9, 2025Updated 5 months ago
- [Paper][IJCKG2021] FedE: Embedding Knowledge Graphs in Federated Setting☆24Apr 15, 2022Updated 3 years ago
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆17Jan 4, 2023Updated 3 years ago
- ☆17Aug 5, 2024Updated last year
- A project for collecting and showing the current research progress of FedRec☆142Oct 17, 2023Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆57May 27, 2023Updated 2 years ago
- Source code for IJCKG 2021 paper "FedE: Embedding Knowledge Graphs in Federated Setting"☆25Apr 15, 2022Updated 3 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆69Nov 24, 2022Updated 3 years ago
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,068Jan 25, 2026Updated last month
- code of FedGNN☆94May 12, 2022Updated 3 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆823Oct 20, 2025Updated 4 months ago
- All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.☆731Nov 16, 2025Updated 3 months ago
- FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai☆2,003Sep 3, 2022Updated 3 years ago
- This repository contains python scripts related to a research that is intended to run graph convolution neural networks in federated mann…☆15Sep 19, 2020Updated 5 years ago
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆53Jul 2, 2023Updated 2 years ago
- ☆164Dec 23, 2022Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,713Feb 2, 2024Updated 2 years ago
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- ☆41Nov 27, 2024Updated last year
- Personalized federated learning codebase for research☆412Oct 4, 2023Updated 2 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆615Feb 26, 2024Updated 2 years ago
- ☆10Mar 31, 2022Updated 3 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆474Aug 14, 2023Updated 2 years ago
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data☆1,430May 7, 2024Updated last year
- FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a …☆4,009Oct 28, 2025Updated 4 months ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Apr 18, 2022Updated 3 years ago
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆22Feb 21, 2022Updated 4 years ago
- Code for Federated Learning with Matched Averaging, ICLR 2020.☆343Dec 5, 2021Updated 4 years ago