Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
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graphkernel
README.md
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gram_matrix
hash_graph_kernels.py
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README.md

Hash Graph Kernels

Source code for our IEEE ICDM 2016 paper Faster Kernels for Graphs with Continuous Attributes.

Usage

$ python hash_graph_kernels.py

Different kernels and data sets can be selected in "hash_graph_kernels.py".

More Data Sets

See Benchmark Data Sets for Graph Kernels for more data sets.

Terms and conditions

Please feel free to use our code. We only ask that you cite:

  1. Christopher Morris, Nils M. Kriege, Kristian Kersting, Petra Mutzel, Faster Kernel for Graphs with Continuous Attributes via Hashing, IEEE International Conference on Data Mining (ICDM), 2016.

     @inproceedings{Morris+2016,
         title={Faster Kernel for Graphs with Continuous Attributes via Hashing},
         author={Christopher Morris and Nils M. Kriege and Kristian Kersting and Petra Mutzel},
         booktitle={IEEE International Conference on Data Mining (ICDM), 2016},
         pages={1095--1100},
         year={2016}
     }
    

Contact Information

If you have any questions, send an email to Christopher Morris (christopher.morris at udo.edu).