Hanjun-Dai / graph_adversarial_attackLinks
Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
☆130Updated 3 years ago
Alternatives and similar repositories for graph_adversarial_attack
Users that are interested in graph_adversarial_attack are comparing it to the libraries listed below
Sorting:
- Adversarial training for Graph Neural Networks☆61Updated 4 years ago
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆154Updated 4 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆221Updated 3 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆60Updated 6 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35Updated 4 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆391Updated last year
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆98Updated 2 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 5 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆71Updated 2 years ago
- ☆18Updated 4 years ago
- Official implementation of our FLAG paper (CVPR2022)☆144Updated 3 years ago
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Updated 4 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 4 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Updated last year
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆22Updated 4 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆138Updated 3 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆90Updated last year
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 6 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆197Updated 5 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆236Updated 2 years ago
- A curated collection of adversarial attack and defense on graph data.☆577Updated 2 years ago
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆38Updated 7 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆324Updated 2 years ago
- Graph Representation Learning via Graphical Mutual Information Maximization☆118Updated 5 years ago
- Representation Learning on Graphs with Jumping Knowledge Networks☆39Updated 6 years ago
- Matlab code for the method proposed in "Final: Fast attributed network alignment" (KDD'16)☆31Updated 4 years ago
- Parameterized Explainer for Graph Neural Network☆141Updated last year
- ☆19Updated 3 years ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆43Updated 4 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 6 years ago