Alternatives and similar repositories for GAP

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

• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆53Updated 2 months ago
• thupchnsky / dp-gnn
  DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)
  ☆11Updated last year
• 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 4 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
• sisaman / LPGNN
  Locally Private Graph Neural Networks (ACM CCS 2021)
  ☆49Updated 3 months ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆44Updated 2 years ago
• zkhku / fedsage
  Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)
  ☆82Updated 3 years ago
• xinleihe / link_stealing_attack
  ☆14Updated 4 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆40Updated 4 years ago
• haonan3 / Secure-Network-Release-with-Link-Privacy
  ☆10Updated 3 years ago
• KaiyangLi1992 / Privacy-Preserving-Social-Network-Embedding
  Implementation of Adversarial Privacy Graph Embedding in TensorFlow
  ☆20Updated 5 years ago
• iyempissy / rebMIGraph
  ☆16Updated 4 years ago
• ventr1c / UGBA
  An official PyTorch implementation of "Unnoticeable Backdoor Attacks on Graph Neural Networks" (WWW 2023)
  ☆60Updated last year
• 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)
  ☆49Updated 2 years ago
• vasishtduddu / GraphLeaks
  Code for the paper "Quantifying Privacy Leakage in Graph Embedding" published in MobiQuitous 2020
  ☆15Updated 3 years ago
• zhaohan-xi / GraphBackdoor
  ☆58Updated 3 years ago
• Zhangzhk0819 / GNN-Embedding-Leaks
  ☆28Updated 2 years ago
• wujcan / GIF-torch
  ☆26Updated 2 years ago
• xinleihe / GNNStealing
  ☆32Updated 3 years ago
• FedML-AI / SpreadGNN
  SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.
  ☆47Updated 3 years ago
• anusii / graph-dp
  Implementations of differentially private release mechanisms for graph statistics
  ☆24Updated 3 years ago
• 846468230 / FedACK
  The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…
  ☆20Updated 2 years ago
• FedML-AI / FedGraphNN
  FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…
  ☆181Updated last year
• 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
• sigeisler / robustness_of_gnns_at_scale
  This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).
  ☆30Updated 2 years ago
• usail-hkust / BkdFedGCN
  ☆33Updated 2 years ago
• ChandlerBang / pytorch-gnn-meta-attack
  Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.
  ☆21Updated 4 years ago
• BUPT-GAMMA / LafAK
  The code of paper "Adversarial Label-Flipping Attack and Defense for Graph Neural Networks" (ICDM 2020)
  ☆18Updated 4 years ago