graph_kernels
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Four of the main kernels on graphs Python implementation.
graph_kernels
Author : Hugo Caselles-Dupré
Disclaimer : several syntax errors can exist in the code. Use it wisely.
Kernels on graphs python implementation
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.
If you have any questions : [email protected].