https://github.com/mims-harvard/GNNGuard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)
https://github.com/mims-harvard/GNNGuard

adversarial-attacks deep-learning graph-convolutional-networks graph-neural-networks robust-learning

Last synced: 3 months ago
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Defending graph neural networks against adversarial attacks (NeurIPS 2020)

• Host: GitHub
• URL: https://github.com/mims-harvard/GNNGuard
• Owner: mims-harvard
• License: other
• Created: 2020-02-18T20:54:08.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-07-06T22:00:39.000Z (over 1 year ago)
• Last Synced: 2024-06-29T07:52:28.832Z (4 months ago)
• Topics: adversarial-attacks, deep-learning, graph-convolutional-networks, graph-neural-networks, robust-learning
• Language: Python
• Homepage: https://zitniklab.hms.harvard.edu/projects/GNNGuard
• Size: 12 MB
• Stars: 56
• Watchers: 6
• Forks: 14
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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