Alternatives and similar repositories for GraphMI

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

• haonan3 / Secure-Network-Release-with-Link-Privacy
  ☆10Updated 4 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
• thupchnsky / dp-gnn
  DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)
  ☆11Updated 2 years ago
• sisaman / GAP
  GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)
  ☆49Updated 2 years ago
• LFhase / GIA-HAO
  [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
  ☆38Updated last year
• THUDM / grb
  Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…
  ☆96Updated last year
• TaoShuchang / G-NIA
  G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
  ☆29Updated 3 years ago
• zaixizhang / graphbackdoor
  A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)
  ☆40Updated 4 years ago
• yushundong / EDITS
  Open source code for paper "EDITS: Modeling and Mitigating Data Bias for Graph Neural Networks".
  ☆29Updated 3 years ago
• EdisonLeeeee / GreatX
  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
  ☆87Updated last year
• qitianwu / GraphOOD-EERM
  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
  ☆92Updated 2 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
• LFhase / CIGA
  [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs
  ☆116Updated 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
• JinheonBaek / FED-PUB
  Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)
  ☆49Updated 2 years ago
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆27Updated 3 years ago
• MinChen00 / Graph-Unlearning
  Official implementation of "Graph Unlearning" (ACM CCS 2022)
  ☆53Updated 3 months ago
• zaixizhang / ProtGNN
  Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"
  ☆52Updated 3 years ago
• VITA-Group / Unified-LTH-GNN
  [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…
  ☆67Updated last year
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆72Updated 2 years ago
• mims-harvard / GNNDelete
  General Strategy for Unlearning in Graph Neural Networks
  ☆46Updated 2 years ago
• Amanda-Zheng / SFGC
  Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"
  ☆37Updated 2 years ago
• TheaperDeng / GNN-Attack-InfMax
  Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem
  ☆19Updated 4 years ago
• Oxfordblue7 / GCFL
  This repository is the implementation of Federated Graph Classification over Non-IID Graphs.
  ☆44Updated 2 years ago
• ChandlerBang / GCond
  [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"
  ☆142Updated 2 weeks ago
• wujcan / GIF-torch
  ☆26Updated 3 years ago
• Graph-COM / GSAT
  [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.
  ☆170Updated last year
• Kaixiong-Zhou / DGN
  Pytorch implementation of differentiable group normalization (NeurIPS 2020)
  ☆38Updated 5 years ago
• EnyanDai / awesome-turstworthy-graph-neural-networks
  ☆25Updated 3 years ago
• ventr1c / RES-GCL
  An official PyTorch implementation of "Certifiably Robust Graph Contrastive Learning" (NeurIPS 2023)
  ☆11Updated last year