Alternatives and similar repositories for nettack:

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

• danielzuegner / gnn-meta-attack
  Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
  ☆146Updated 3 years ago
• Hanjun-Dai / graph_adversarial_attack
  Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
  ☆128Updated 2 years ago
• KaidiXu / GCN_ADV_Train
  Adversarial training for Graph Neural Networks
  ☆60Updated 4 years ago
• abojchevski / node_embedding_attack
  Adversarial Attacks on Node Embeddings via Graph Poisoning
  ☆60Updated 5 years ago
• ChandlerBang / awesome-graph-attack-papers
  Adversarial attacks and defenses on Graph Neural Networks.
  ☆378Updated last year
• EdisonLeeeee / Graph-Adversarial-Learning
  A curated collection of adversarial attack and defense on graph data.
  ☆567Updated last year
• safe-graph / graph-adversarial-learning-literature
  A curated list of adversarial attacks and defenses papers on graph-structured data.
  ☆847Updated last year
• ChandlerBang / Pro-GNN
  Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"
  ☆290Updated last year
• THUDM / tdgia
  code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)
  ☆19Updated 3 years ago
• Jhy1993 / Representation-Learning-on-Heterogeneous-Graph
  Representation-Learning-on-Heterogeneous-Graph
  ☆440Updated 5 years ago
• TaoShuchang / G-NIA
  G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)
  ☆28Updated 3 years ago
• SwiftieH / GFAttack
  A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models
  ☆36Updated 3 years ago
• yangji9181 / HNE
  Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
  ☆257Updated 4 years ago
• mims-harvard / GNNGuard
  Defending graph neural networks against adversarial attacks (NeurIPS 2020)
  ☆63Updated last year
• chisam0217 / Graph-Universal-Attack
  ☆18Updated 3 years ago
• zhoushengisnoob / HINE
  Heterogeneous Information Network Embedding
  ☆198Updated 3 years ago
• BUPT-GAMMA / OpenHINE
  An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)
  ☆323Updated 2 years ago
• THUDM / grb
  Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…
  ☆92Updated last year
• EdisonLeeeee / GreatX
  A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
  ☆85Updated 5 months ago
• gasteigerjo / ppnp
  PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)
  ☆321Updated 3 months ago
• hwwang55 / GCN-LPA
  A tensorflow implementation of GCN-LPA
  ☆99Updated 5 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 4 years ago
• librahu / HeGAN
  Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"
  ☆70Updated 5 years ago
• bkj / pytorch-graphsage
  Representation learning on large graphs using stochastic graph convolutions.
  ☆138Updated 6 years ago
• chuxuzhang / KDD2019_HetGNN
  code of HetGNN
  ☆398Updated 5 years ago
• DropEdge / DropEdge
  This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
  ☆471Updated 2 years ago
• palash1992 / DynamicGEM
  ☆349Updated 4 years ago
• hugochan / IDGL
  Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…
  ☆226Updated last year
• luckiezhou / DynamicTriad
  Dynamic Network Embedding by Modeling Triadic Closure Process
  ☆138Updated 5 years ago
• THUDM / GIAAD
  Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track
  ☆21Updated 7 months ago