Alternatives and similar repositories for OpenGU

Users that are interested in OpenGU are comparing it to the libraries listed below

• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated 2 weeks ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆59Updated last year
• NDS-VU / awesome-gnn-privacy
  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
• xkLi-Allen / Awesome-GNN-Research
  My future research
  ☆413Updated 2 years ago
• iyempissy / rebMIGraph
  ☆17Updated 3 years ago
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆19Updated 2 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated last year
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆40Updated 3 years ago
• zhaohan-xi / GraphBackdoor
  ☆57Updated 2 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆80Updated 3 years ago
• huweibo / Awesome-Federated-Learning-on-Graph-and-GNN-papers
  Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
  ☆345Updated last year
• qtguo / subsim
  ☆10Updated 5 years ago
• binghuiwang / GraphFL
  ☆11Updated 2 years ago
• xkLi-Allen / OpenFGL
  ☆29Updated 8 months ago
• wujcan / GIF-torch
  ☆25Updated 2 years ago
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆24Updated 2 years ago
• zhongjian-zhang / LLM4RGNN
  A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)
  ☆24Updated 2 months ago
• yh-yao / FedRule
  Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks
  ☆14Updated last year
• THUDM / tdgia
  code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)
  ☆20Updated 3 years ago
• yjw1029 / UA-FedRec
  The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.
  ☆19Updated 3 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆71Updated 6 months ago
• zzwjames / DPGBA
  An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
  ☆12Updated 10 months ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆44Updated 2 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• cynricfu / FedHGN
  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
  ☆22Updated last year
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆140Updated 10 months ago
• YangLiangwei / FeSoG
  Code for Federated Social Recommendation with Graph Neural Network
  ☆29Updated 2 years ago
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆70Updated 2 years ago
• wuyucheng2002 / CTAug
  Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"
  ☆15Updated last year
• Mark12Ding / GNN-Practical-Attack
  Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)
  ☆28Updated 3 years ago