Created by: benedekrozemberczki
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.
What is this Python project?
Unsupervised learning for graph structured data:
- Node embedding
- Community detection
- Graph embedding
Built on NetworkX and has a Scikit-Learn like API.
What's the difference between this Python project and similar ones?
There is no similar project.
--
Anyone who agrees with this pull request could vote for it by adding a