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https://github.com/chrsmrrs/hashgraphkernel

Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
https://github.com/chrsmrrs/hashgraphkernel

graph-kernels graphs hashing machine-learning python

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

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# Hash Graph Kernels
Source code for our IEEE ICDM 2016 paper [Faster Kernels for Graphs with Continuous Attributes](https://arxiv.org/abs/1610.00064).

# Usage

```Bash
$ 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](http://graphkernels.cs.tu-dortmund.de) 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](http://ieeexplore.ieee.org/document/7837955), *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).