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.
Features
- Overlapping Community Detection
- Proximity Preserving Node Embedding
- Documentation available
- Structural Node Level Embedding
- Attributed Node Level Embedding
- Examples included
- Graph Level Embedding
Project Samples
Categories
Machine LearningLicense
GNU General Public License version 3.0 (GPLv3)Follow Karate Club
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