xkLi-Allen / OpenFGL
☆16Updated this week
Related projects ⓘ
Alternatives and complementary repositories for OpenFGL
- 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
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆321Updated 8 months ago
- My future research☆402Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆71Updated 2 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆39Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks (GNNs) under federated (distributed) set…☆19Updated this week
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated last year
- Paper List for Fair Graph Learning (FairGL).☆132Updated last month
- ☆29Updated last year
- Official Code for FedGCN [NeurIPS 2023]☆58Updated 6 months ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆13Updated 8 months ago
- ☆20Updated 7 months ago
- ☆157Updated 7 months ago
- Papers about out-of-distribution generalization on graphs.☆155Updated last year
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆58Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆60Updated 6 months ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆15Updated last year
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆44Updated last year
- Code for OGC and GGCM☆11Updated last month
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆46Updated last year
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- Benchmark☆77Updated 7 months ago
- ☆21Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆39Updated last year
- code of FedGNN☆82Updated 2 years ago
- ☆15Updated 9 months ago
- A Survey of Learning from Graphs with Heterophily☆86Updated last month
- Must-read papers on graph foundation models (GFMs)☆267Updated 4 months ago
- Code for paper https://arxiv.org/abs/2102.13186☆39Updated 3 years ago
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆180Updated 10 months ago