https://github.com/caselles/graph_kernels
Four of the main kernels on graphs Python implementation.
https://github.com/caselles/graph_kernels
Last synced: about 1 year ago
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Four of the main kernels on graphs Python implementation.
- Host: GitHub
- URL: https://github.com/caselles/graph_kernels
- Owner: Caselles
- Created: 2016-07-28T08:44:38.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2017-02-05T14:00:51.000Z (over 9 years ago)
- Last Synced: 2025-03-30T11:01:41.794Z (over 1 year ago)
- Language: Python
- Homepage:
- Size: 4.83 MB
- Stars: 16
- Watchers: 2
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# graph_kernels
Author : Hugo Caselles-Dupré
Disclaimer : several syntax errors can exist in the code. Use it wisely.
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Kernels on graphs python implementation
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In this directory you can find the following kernels :
- Random Walk
- Shortest paths
- Graphlet kernels including : 3,4 sampled graphlets and all connected 3,4,5-graphlets.
- Weisfeiler-Lehman subtree kernel
The file "convenient_tools.py" are useful functions often required when working on kernels for graphs, such as kernel normalization.
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If you have any questions : casellesdupre.hugo@gmail.com.