Alternatives and similar repositories for OpenGU

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

• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆58Updated last year
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated 2 years ago
• zhaohan-xi / GraphBackdoor
  ☆57Updated 2 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated last year
• wujcan / GIF-torch
  ☆25Updated 2 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆40Updated 3 years ago
• binghuiwang / GraphFL
  ☆11Updated 2 years ago
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆19Updated 2 years ago
• zzwjames / DPGBA
  An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
  ☆12Updated 10 months ago
• iyempissy / rebMIGraph
  ☆17Updated 3 years ago
• 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
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆23Updated 2 years ago
• xkLi-Allen / Awesome-GNN-Research
  My future research
  ☆411Updated 2 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆79Updated 3 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆43Updated 2 years ago
• xkLi-Allen / OpenFGL
  ☆27Updated 7 months ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆47Updated 2 weeks ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆25Updated 3 years ago
• scottshufe / Property-Inference-Attacks-Literature
  ☆11Updated 9 months ago
• yh-yao / FedRule
  Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks
  ☆14Updated last year
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• Mark12Ding / GNN-Practical-Attack
  Code for Towards More Practical Adversarial Attacks on Graph Neural Networks (NeurIPS 2020)
  ☆27Updated 3 years ago
• yjw1029 / UA-FedRec
  The python implementation of our "UA-FedRec: Untargeted Attack on Federated News Recommendation" in KDD 2023.
  ☆19Updated 2 years ago
• qtguo / subsim
  ☆10Updated 5 years ago
• THUDM / tdgia
  code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)
  ☆20Updated 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.
  ☆342Updated last year
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆65Updated 2 years ago
• HaFaZhang / A3FL
  ☆26Updated last year