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 years ago
• wujcan / GIF-torch
  ☆25Updated 2 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated 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
• zhaohan-xi / GraphBackdoor
  ☆56Updated 2 years ago
• zzwjames / DPGBA
  An official implementation of "Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective" (KDD 2024)
  ☆12Updated 8 months ago
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆19Updated 2 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆39Updated 3 years ago
• iyempissy / rebMIGraph
  ☆17Updated 3 years ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆58Updated last year
• xkLi-Allen / OpenFGL
  ☆26Updated 6 months ago
• EdisonLeeeee / Awesome-Fair-Graph-Learning
  Paper List for Fair Graph Learning (FairGL).
  ☆138Updated 8 months ago
• xujing1994 / bkd_fedgnn
  Implementation of paper "More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks"
  ☆23Updated 2 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆48Updated last year
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆76Updated 3 years ago
• TaoShuchang / G-NIA
  G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
  ☆30Updated 3 years ago
• THUDM / tdgia
  code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)
  ☆19Updated 3 years ago
• mims-harvard / GNNDelete
  General Strategy for Unlearning in Graph Neural Networks
  ☆44Updated 2 years ago
• yh-yao / FedRule
  Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks
  ☆12Updated last year
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆47Updated last year
• wuyucheng2002 / CTAug
  Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"
  ☆14Updated last year
• xiye7lai / CURE4Rec
  [NeurIPS2024] CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence”
  ☆17Updated 11 months ago
• FDUDSDE / KDD2022CLARE
  Codes and data for KDD 2022 Research Track paper "CLARE: A Semi-supervised Community Detection Algorithm"
  ☆35Updated last year
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆24Updated 3 years ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆63Updated 2 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• AI-secure / LinkTeller
  [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …
  ☆23Updated 3 years ago
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆59Updated 7 months ago