G
GEMSEC
benedekrozemberczki/GEMSEC
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
★258stars
Python
GPL-3.0
Updated: 9mo ago
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on clustering and community-detection
Who made it?Maintained by benedekrozemberczki team, 258⭐ on GitHub, #2194 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the benedekrozemberczki team identified the need for better clustering solutions. GEMSEC was created to simplify community-detection workflows.
What can it do?Key use cases: deepwalk, deezer, embedding
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/benedekrozemberczki/GEMSEC
🔗 github.com/benedekrozemberczki/GEMSEC
Topics
clusteringcommunity-detectiondeepwalkdeezerembeddingfacebookgemsecgensimgraph-embeddingimplicit-factorizationm-nmfmachine-learningmatrix-factorizationnetwork-embeddingneural-networknode2vecsemisupervised-learningtensorflowunsupervised-learningword2vec