chisam0217 / Graph-Universal-AttackLinks
☆18Updated 3 years ago
Alternatives and similar repositories for Graph-Universal-Attack
Users that are interested in Graph-Universal-Attack are comparing it to the libraries listed below
Sorting:
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Updated 3 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆60Updated 5 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 training for Graph Neural Networks☆61Updated 4 years ago
- Implementation of "GraphSGAN", a GAN-based semi-supervised learning algorithm for graph data.☆86Updated 6 years ago
- ☆12Updated 5 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆196Updated 5 years ago
- Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.☆54Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- This is a sample implementation of "Robust Graph Convolutional Networks Against Adversarial Attacks", KDD 2019.☆10Updated 5 years ago
- ☆61Updated 5 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Updated 5 years ago
- Official implementation of our FLAG paper (CVPR2022)☆145Updated 3 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Updated 4 years ago
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning☆12Updated 5 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Updated last year
- G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)☆29Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- Adversarial attacks and defenses on Graph Neural Networks.☆389Updated last year
- Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure☆20Updated 5 years ago
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- Graph Injection Adversarial Attack & Defense Dataset , extracted from KDD CUP 2020 ML2 Track☆22Updated last year
- Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".☆20Updated 5 years ago
- ☆30Updated 5 years ago
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Adversarial Training Methods for Network Embedding, WWW2019.☆27Updated 6 years ago
- A python implementation of Patchy-San Convolutional Network for Graph☆41Updated 5 years ago