benedekrozemberczki/karateclub
An open-source Python framework for unsupervised learning on graph structured data, built as an extension library for NetworkX.
Not currently ranked — collecting fresh signals.
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Karate Club provides state-of-the-art methods for unsupervised learning on graphs, including network embedding techniques at the node and graph level as well as overlapping and non-overlapping community detection methods. It implements techniques like node2vec, deepwalk, graph2vec, and Louvain clustering, offering a scikit-learn compatible API for graph mining research.
Frequently asked
- What is benedekrozemberczki/karateclub?
- An open-source Python framework for unsupervised learning on graph structured data, built as an extension library for NetworkX.
- Is karateclub open source?
- Yes — benedekrozemberczki/karateclub is open source, released under the GPL-3.0 license.
- What language is karateclub written in?
- benedekrozemberczki/karateclub is primarily written in Python.
- How popular is karateclub?
- benedekrozemberczki/karateclub has 2.3k stars on GitHub.
- Where can I find karateclub?
- benedekrozemberczki/karateclub is on GitHub at https://github.com/benedekrozemberczki/karateclub.