Alternatives and similar repositories for GAP

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

• 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
• haonan3 / Secure-Network-Release-with-Link-Privacy
  ☆10Updated 3 years ago
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆47Updated last year
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆24Updated 3 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
• zaixizhang / GraphMI
  Official Pytorch implementation of IJCAI'21 paper "GraphMI: Extracting Private Graph Data from Graph Neural Networks"
  ☆13Updated 3 years ago
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆48Updated last year
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆42Updated 2 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆52Updated 2 years ago
• iyempissy / rebMIGraph
  ☆17Updated 3 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆77Updated 3 years ago
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆20Updated 5 years ago
• thupchnsky / dp-gnn
  DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)
  ☆12Updated last year
• zhaohan-xi / GraphBackdoor
  ☆57Updated 2 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆39Updated 3 years ago
• vasishtduddu / GraphLeaks
  Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020
  ☆15Updated 3 years ago
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆47Updated 2 years ago
• wujcan / GIF-torch
  ☆25Updated 2 years ago
• yh-yao / FedRule
  Official Code for FedRule: Federated Rule Recommendation System with Graph Neural Networks
  ☆13Updated last year
• thupchnsky / sgc_unlearn
  Certified (approximate) machine unlearning for simplified graph convolutional networks (SGCs) with theoretical guarantees (ICLR 2023)
  ☆19Updated 2 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆27Updated 2 years ago
• yuetan031 / FedStar
  [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing
  ☆64Updated 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
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆58Updated last year
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• rdz98 / FedRecAttack
  Model Poisoning Attack to Federated Recommendation
  ☆30Updated 3 years ago
• LoadingByte / are-gnn-defenses-robust
  Adaptive evaluation reveals that most examined adversarial defenses for GNNs show no or only marginal improvement in robustness. (NeurIPS…
  ☆29Updated 2 years ago
• yh-yao / FedGCN
  Official Code for FedGCN [NeurIPS 2023]
  ☆69Updated 5 months ago
• cynricfu / FedHGN
  FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
  ☆21Updated last year