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Karate Club is an unsupervised machine learning extension library for NetworkX.

Karate Club consists of state-of-the-art methods to do unsupervised learning on graph structured data. To put it simply it is a Swiss Army knife for small-scale graph mining research. First, it provides network embedding techniques at the node and graph level. Second, it includes a variety of overlapping and non-overlapping community detection methods. Implemented methods cover a wide range of network science (NetSci, Complenet), data mining (ICDM, CIKM, KDD), artificial intelligence (AAAI, IJCAI) and machine learning (NeurIPS, ICML, ICLR) conferences, workshops, and pieces from prominent journals.
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Benedek Rozemberczki
2020-01-25 21:27:10 +00:00
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@@ -961,6 +961,7 @@ Inspired by [awesome-php](https://github.com/ziadoz/awesome-php).
* [Biopython](http://biopython.org/wiki/Main_Page) - Biopython is a set of freely available tools for biological computation.
* [cclib](http://cclib.github.io/) - A library for parsing and interpreting the results of computational chemistry packages.
* [Colour](http://colour-science.org/) - Implementing a comprehensive number of colour theory transformations and algorithms.
* [Karate Club](https://github.com/benedekrozemberczki/karateclub) - Unsupervised machine learning toolbox for graph structured data.
* [NetworkX](https://networkx.github.io/) - A high-productivity software for complex networks.
* [NIPY](http://nipy.org) - A collection of neuroimaging toolkits.
* [NumPy](http://www.numpy.org/) - A fundamental package for scientific computing with Python.