https://github.com/vermaMachineLearning/FGSD

Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).
https://github.com/vermaMachineLearning/FGSD

Last synced: about 2 months ago
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Graph Feature Representation/Vector Based On The Family Of Graph Spectral Distances (NIPS 2017).

• Host: GitHub
• URL: https://github.com/vermaMachineLearning/FGSD
• Owner: vermaMachineLearning
• License: mit
• Created: 2017-10-11T18:26:19.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2020-03-21T04:58:59.000Z (about 5 years ago)
• Last Synced: 2024-10-30T14:43:23.278Z (7 months ago)
• Language: Python
• Homepage:
• Size: 16.8 MB
• Stars: 24
• Watchers: 2
• Forks: 8
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
### NIPS 2017 Paper: Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs.

Authors: Saurabh Verma and Zhi-Li Zhang

#### Welcome To The Family Of Graph Spectral Distances. A New Family Of Graph Feature Representations/Vectors.

Please cite our paper, if you use our code. Thanks!