https://github.com/danielzuegner/robust-gcn

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
https://github.com/danielzuegner/robust-gcn

adversarial-robust deep-learning graph-neural-networks robustness

Last synced: 3 months ago
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Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

• Host: GitHub
• URL: https://github.com/danielzuegner/robust-gcn
• Owner: danielzuegner
• License: mit
• Created: 2019-06-21T12:05:44.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-12-07T15:16:05.000Z (almost 4 years ago)
• Last Synced: 2024-06-29T07:52:25.388Z (4 months ago)
• Topics: adversarial-robust, deep-learning, graph-neural-networks, robustness
• Language: Jupyter Notebook
• Homepage: https://www.kdd.in.tum.de/research/robust-gcn/
• Size: 6.1 MB
• Stars: 40
• Watchers: 2
• Forks: 12
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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