xkLi-Allen / OpenFGL
☆21Updated 3 months ago
Alternatives and similar repositories for OpenFGL:
Users that are interested in OpenFGL are comparing it to the libraries listed below
- 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 Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆74Updated 3 years ago
- ☆31Updated last year
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆13Updated last year
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆43Updated last year
- Paper List for Fair Graph Learning (FairGL).☆134Updated 5 months ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆61Updated 2 years ago
- An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)☆57Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks (GNNs) under federated (distributed) set…☆36Updated this week
- Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)☆19Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆62Updated last month
- The relevant codes for "GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections".☆12Updated 11 months ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆45Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆26Updated last week
- My future research☆407Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆36Updated last year
- Papers about out-of-distribution generalization on graphs.☆166Updated last year
- An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)☆11Updated 5 months ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆37Updated 3 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆28Updated 3 months ago
- Awesome literature on imbalanced learning on graphs☆75Updated 5 months ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆16Updated last year
- Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"☆22Updated last year
- ☆22Updated 2 years ago
- Benchmark☆90Updated 10 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆54Updated 4 months ago
- ☆19Updated 3 years ago
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆14Updated 3 weeks ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆41Updated last year