From 5eea854d3df4cb058ec73002cd64da93aa7f1683 Mon Sep 17 00:00:00 2001 From: jajupmochi Date: Fri, 2 Oct 2020 14:36:58 +0200 Subject: [PATCH] Add CHANGELOG.md. --- CHANGELOG.md | 0 Problems.md | 2 +- README.md | 28 ++++++++++++++-------------- setup.py | 2 +- 4 files changed, 16 insertions(+), 16 deletions(-) create mode 100644 CHANGELOG.md diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 0000000..e69de29 diff --git a/Problems.md b/Problems.md index 1929f5f..cb7dd1e 100644 --- a/Problems.md +++ b/Problems.md @@ -10,7 +10,7 @@ Update your `control` package. ### 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: diff --git a/README.md b/README.md index f9eec77..9ade200 100644 --- a/README.md +++ b/README.md @@ -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! +## 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 [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. [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. diff --git a/setup.py b/setup.py index f2f1048..ea10603 100644 --- a/setup.py +++ b/setup.py @@ -8,7 +8,7 @@ with open('requirements_pypi.txt') as fp: setuptools.setup( name="graphkit-learn", - version="0.2b4", + version="0.2.0", author="Linlin Jia", author_email="linlin.jia@insa-rouen.fr", description="A Python library for graph kernels, graph edit distances, and graph pre-images",