xkLi-Allen / OpenFGLLinks
☆37Updated last year
Alternatives and similar repositories for OpenFGL
Users that are interested in OpenFGL are comparing it to the libraries listed below
Sorting:
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆22Updated 2 years ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆17Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆60Updated 2 months ago
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆28Updated last month
- Official Code for FedGCN [NeurIPS 2023]☆72Updated 10 months ago
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆343Updated last year
- My future research☆416Updated 2 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆83Updated 3 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
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆69Updated 3 years ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆20Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆153Updated 9 months ago
- The source code of SpCo☆34Updated 2 years ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆48Updated 5 months ago
- The official implementation of the DGA-GNN algorithm.☆29Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆228Updated 2 weeks ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- ☆73Updated last year
- Data repository for PyGOD☆45Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆135Updated last year
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆13Updated 2 years ago
- ☆38Updated 4 years ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆53Updated 4 months ago
- A collection of papers for graph anomaly detection, and published algorithms and datasets.☆132Updated last year
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆27Updated 2 years ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆62Updated 3 months ago
- Fraud Detection, Low Homophily, Label Utilization, Graph Mining☆50Updated last year
- Paper List for Fair Graph Learning (FairGL).☆142Updated last year
- ☆13Updated 9 months ago