Hanjun-Dai / graph_adversarial_attack
Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)
☆127Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for graph_adversarial_attack
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆145Updated 2 years ago
- Adversarial training for Graph Neural Networks☆59Updated 3 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆219Updated 2 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Updated 4 years ago
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆36Updated 3 years ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆59Updated last year
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Updated 3 years ago
- code for paper TDGIA:Effective Injection Attacks on Graph Neural Networks (KDD 2021, research track)☆18Updated 3 years ago
- ☆18Updated 2 years ago
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆26Updated 2 years ago
- Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph M…☆91Updated last year
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆83Updated last month
- Adversarial attacks and defenses on Graph Neural Networks.☆369Updated 9 months ago
- A PyTorch implementation of "Backdoor Attacks to Graph Neural Networks" (SACMAT'21)☆34Updated 3 years ago
- Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs☆128Updated last year
- A dgl implementation of Jumping Knowledge Networks (arXiv 1806.03536)☆39Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆191Updated 3 years ago
- [ICLR 2022] Understanding and Improving Graph Injection Attack by Promoting Unnoticeability☆37Updated 11 months ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 5 years ago
- Unsupervised Graph Poisoning Attack via Contrastive Loss Back-propagation, WWW22☆17Updated 2 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 5 years ago
- Parameterized Explainer for Graph Neural Network☆128Updated 9 months ago
- ☆12Updated 3 years ago
- The source code for NeurIPS 2020 paper "Graph Policy Network for Transferable Active Learning on Graphs"☆44Updated 4 years ago
- This repository contains the official implementation of the paper "Robustness of Graph Neural Networks at Scale" (NeurIPS, 2021).☆28Updated last year
- This repository contains the official implementation of the paper "Reliable Graph Neural Networks via Robust Aggregation" (NeurIPS, 2020)…☆17Updated 2 years ago
- ☆52Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆223Updated last year
- Official implementation of our FLAG paper (CVPR2022)☆141Updated 2 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆21Updated 3 months ago