M
MUSAE
benedekrozemberczki/MUSAE
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
★186stars
Python
GPL-3.0
Updated: 2mo ago
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on aane and asne
Who made it?Maintained by benedekrozemberczki team, 186⭐ on GitHub, #2321 out of 3201 in Models
Why does it exist?With the growing demand for aane and asne in Models, benedekrozemberczki created MUSAE as a streamlined solution.
What can it do?Key use cases: asonam, attributed-embedding, deep-learning
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/MUSAE | 官网 https://karateclub.readthedocs.io/
🔗 github.com/benedekrozemberczki/MUSAE | 官网 https://karateclub.readthedocs.io/
Topics
aaneasneasonamattributed-embeddingdeep-learningdeepwalkembeddinggemsecgensimgraph-embeddinggraph-neural-networkimplicit-factorizationmusaenetwork-analysisnetwork-embeddingnode-embeddingnode2vectadwwalkletsword2vec