https://github.com/bayer-science-for-a-better-life/phc-gnn

Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert
https://github.com/bayer-science-for-a-better-life/phc-gnn

deep-learning graph-classification graph-neural-networks graph-representation-learning hypercomplex neural-message-passing quaternion

Last synced: 3 months ago
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Implementation of the Paper: "Parameterized Hypercomplex Graph Neural Networks for Graph Classification" by Tuan Le, Marco Bertolini, Frank Noé and Djork-Arné Clevert

• Host: GitHub
• URL: https://github.com/bayer-science-for-a-better-life/phc-gnn
• Owner: bayer-science-for-a-better-life
• License: gpl-3.0
• Created: 2020-12-09T09:28:12.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-09-03T09:43:57.000Z (over 3 years ago)
• Last Synced: 2024-04-29T00:09:22.343Z (8 months ago)
• Topics: deep-learning, graph-classification, graph-neural-networks, graph-representation-learning, hypercomplex, neural-message-passing, quaternion
• Language: Python
• Homepage:
• Size: 6.92 MB
• Stars: 30
• Watchers: 7
• Forks: 6
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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