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@@ -78,7 +78,7 @@ Check this paper for detailed description of graph kernels and experimental resu |
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Linlin Jia, Benoit Gaüzère, and Paul Honeine. Graph Kernels Based on Linear Patterns: Theoretical and Experimental Comparisons. working paper or preprint, March 2019. URL https://hal-normandie-univ.archives-ouvertes.fr/hal-02053946. |
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Linlin Jia, Benoit Gaüzère, and Paul Honeine. Graph Kernels Based on Linear Patterns: Theoretical and Experimental Comparisons. working paper or preprint, March 2019. URL https://hal-normandie-univ.archives-ouvertes.fr/hal-02053946. |
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A comparison of performances of graph kernels on benchmark datasets can be found [here](https://graphkit-learn.readthedocs.io/en/master/index.html#experiments). |
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A comparison of performances of graph kernels on benchmark datasets can be found [here](https://graphkit-learn.readthedocs.io/en/master/experiments.html). |
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## References |
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## References |
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[1] Thomas Gärtner, Peter Flach, and Stefan Wrobel. On graph kernels: Hardness results and efficient alternatives. Learning Theory and Kernel Machines, pages 129–143, 2003. |
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[1] Thomas Gärtner, Peter Flach, and Stefan Wrobel. On graph kernels: Hardness results and efficient alternatives. Learning Theory and Kernel Machines, pages 129–143, 2003. |
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