Adversarial training for Graph Neural Networks
☆62Feb 26, 2021Updated 5 years ago
Alternatives and similar repositories for GCN_ADV_Train
Users that are interested in GCN_ADV_Train are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".☆158Dec 9, 2021Updated 4 years ago
- Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)☆130Jul 16, 2022Updated 4 years ago
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆13Dec 8, 2023Updated 2 years ago
- Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".☆226May 31, 2022Updated 4 years ago
- Adversarial Attacks on Node Embeddings via Graph Poisoning☆59Dec 23, 2019Updated 6 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A Restricted Black-box Adversarial Framework Towards Attacking Graph Embedding Models☆35May 26, 2021Updated 5 years ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆42Dec 7, 2020Updated 5 years ago
- ☆13Feb 26, 2019Updated 7 years ago
- ☆18Jan 12, 2022Updated 4 years ago
- A curated list of adversarial attacks and defenses papers on graph-structured data.☆861Dec 15, 2023Updated 2 years ago
- Implementation of paper "Transferring Robustness for Graph Neural Network Against Poisoning Attacks".☆20Feb 26, 2020Updated 6 years ago
- Code for paper "Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers"☆17Jan 27, 2023Updated 3 years ago
- Adversarial attacks and defenses on Graph Neural Networks.