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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
Last synced: about 1 month ago
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Source code for our IEEE ICDM 2016 paper "Faster Kernels for Graphs with Continuous Attributes".
- Host: GitHub
- URL: https://github.com/chrsmrrs/hashgraphkernel
- Owner: chrsmrrs
- Created: 2017-01-24T12:42:38.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2017-10-14T14:31:53.000Z (about 7 years ago)
- Last Synced: 2024-07-16T18:11:54.479Z (5 months ago)
- Topics: graph-kernels, graphs, hashing, machine-learning, python
- Language: Python
- Size: 5.87 MB
- Stars: 10
- Watchers: 4
- Forks: 8
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
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README
# 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).