Karate Club is an unsupervised machine learning for graphs

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.

README.md

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 51.  [Coach - Reinforcement Learning Coach by Intel® AI Lab](https://github.com/NervanaSystems/coach)
 52.  [albumentations - A fast and framework agnostic image augmentation library](https://github.com/albu/albumentations)
 53.  [garage - A toolkit for reproducible reinforcement learning research](https://github.com/rlworkgroup/garage)
+54.  [Karate Club - An unsupervised machine learning library for graph structured data](https://github.com/benedekrozemberczki/karateclub)
 
 ### Tools