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1.1 kB
py-graph
a python package for graph kernels.
requirements
- numpy - 1.13.3
- scipy - 1.0.0
- matplotlib - 2.1.0
- networkx - 2.0
- sklearn - 0.19.1
- tabulate - 0.8.2
results with minimal RMSE for each kernel on dataset Asyclic
| Kernels | RMSE(℃) | std(℃) | parameter |
|---|---|---|---|
| shortest path | 36.400524 | 5.352940 | - |
| marginalized | 17.8991 | 6.59104 | p_quit = 0.1 |
| path | 14.270816 | 6.366698 | - |
| WL subtree | 9.01403 | 6.35786 | height = 1 |
updates
2017.12.20
- ADD Weisfeiler-Lehman subtree kernel and its result on dataset Asyclic. - linlin
2017.12.07
- ADD mean average path kernel and its result on dataset Asyclic. - linlin
- ADD delta kernel. - linlin
- MOD reconstruction the code of marginalized kernel. - linlin
2017.12.05
- ADD marginalized kernel and its result. - linlin
- ADD list required python packages in file README.md. - linlin
2017.11.24
- ADD shortest path kernel and its result. - linlin