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Add CHANGELOG.md.

v0.2.x
jajupmochi 4 years ago
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CHANGELOG.md View File


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Problems.md View File

@@ -10,7 +10,7 @@ Update your `control` package.


### Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so. ### Intel MKL FATAL ERROR: Cannot load libmkl_avx2.so or libmkl_def.so.


The Intel Math Kernel Library (MKL) is missing or not properly set. I assume the MKL is required by `control` module.
The Intel Math Kernel Library (MKL) is missing or not properly set. I assume MKL is required by the `control` module.


Install MKL. Then add the following to your path: Install MKL. Then add the following to your path:




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README.md View File

@@ -131,6 +131,20 @@ A comparison of performances of graph kernels on benchmark datasets can be found


Fork the library and open a pull request! Make your own contribute to the community! Fork the library and open a pull request! Make your own contribute to the community!


## Authors

* [Linlin Jia](https://jajupmochi.github.io/), LITIS, INSA Rouen Normandie
* [Benoit Gaüzère](http://pagesperso.litislab.fr/~bgauzere/#contact_en), LITIS, INSA Rouen Normandie
* [Paul Honeine](http://honeine.fr/paul/Welcome.html), LITIS, Université de Rouen Normandie

## Citation

Still waiting...

## Acknowledgments

This research was supported by CSC (China Scholarship Council) and the French national research agency (ANR) under the grant APi (ANR-18-CE23-0014). The authors would like to thank the CRIANN (Le Centre Régional Informatique et d’Applications Numériques de Normandie) for providing computational resources.

## References ## References
[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. [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.


@@ -153,17 +167,3 @@ Fork the library and open a pull request! Make your own contribute to the commun
[10] Gaüzere, B., Brun, L., Villemin, D., 2012. Two new graphs kernels in chemoinformatics. Pattern Recognition Letters 33, 2038–2047. [10] Gaüzere, B., Brun, L., Villemin, D., 2012. Two new graphs kernels in chemoinformatics. Pattern Recognition Letters 33, 2038–2047.


[11] Shervashidze, N., Schweitzer, P., Leeuwen, E.J.v., Mehlhorn, K., Borgwardt, K.M., 2011. Weisfeiler-lehman graph kernels. Journal of Machine Learning Research 12, 2539–2561. [11] Shervashidze, N., Schweitzer, P., Leeuwen, E.J.v., Mehlhorn, K., Borgwardt, K.M., 2011. Weisfeiler-lehman graph kernels. Journal of Machine Learning Research 12, 2539–2561.

## Authors

* [Linlin Jia](https://jajupmochi.github.io/), LITIS, INSA Rouen Normandie
* [Benoit Gaüzère](http://pagesperso.litislab.fr/~bgauzere/#contact_en), LITIS, INSA Rouen Normandie
* [Paul Honeine](http://honeine.fr/paul/Welcome.html), LITIS, Université de Rouen Normandie

## Citation

Still waiting...

## Acknowledgments

This research was supported by CSC (China Scholarship Council) and the French national research agency (ANR) under the grant APi (ANR-18-CE23-0014). The authors would like to thank the CRIANN (Le Centre Régional Informatique et d’Applications Numériques de Normandie) for providing computational resources.

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setup.py View File

@@ -8,7 +8,7 @@ with open('requirements_pypi.txt') as fp:


setuptools.setup( setuptools.setup(
name="graphkit-learn", name="graphkit-learn",
version="0.2b4",
version="0.2.0",
author="Linlin Jia", author="Linlin Jia",
author_email="linlin.jia@insa-rouen.fr", author_email="linlin.jia@insa-rouen.fr",
description="A Python library for graph kernels, graph edit distances, and graph pre-images", description="A Python library for graph kernels, graph edit distances, and graph pre-images",


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