xkLi-Allen / OpenFGLLinks
☆26Updated 6 months ago
Alternatives and similar repositories for OpenFGL
Users that are interested in OpenFGL are comparing it to the libraries listed below
Sorting:
- 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
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆21Updated 2 months ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆76Updated 3 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆21Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks under federated setting.☆50Updated 2 weeks ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆63Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆68Updated 4 months ago
- ☆10Updated 3 months ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆32Updated last month
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆14Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- The official implementation of the DGA-GNN algorithm.☆25Updated 10 months ago
- ☆35Updated 6 months ago
- Paper List for Fair Graph Learning (FairGL).☆138Updated 8 months ago
- Data repository for PyGOD☆41Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- ☆23Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆11Updated 7 months ago
- ☆33Updated last year
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆58Updated last year
- Code for Federated Social Recommendation with Graph Neural Network☆28Updated 2 years ago
- TransGNN, SIGIR 2024☆53Updated 10 months ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆42Updated 3 weeks ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆29Updated 9 months ago
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆140Updated 3 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆32Updated 7 months ago
- Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks☆12Updated last year
- Benchmark☆98Updated last year