vedashree29296/PyEmbeo
graph embeddings for neo4j in python
This project helps you understand complex relationships within your data, such as connections in a social network or drug interactions. It takes your Neo4j graph database and generates numerical representations (embeddings) of the nodes and their connections. These embeddings can then be used by machine learning algorithms for tasks like discovering new relationships or recommending similar items. It is designed for data scientists, researchers, and analysts working with rich, interconnected datasets.
No commits in the last 6 months.
Use this if you need to analyze relationships within your Neo4j graph data to find patterns, make predictions, or build recommendation systems.
Not ideal if you don't use Neo4j as your primary graph database or if your analysis doesn't require machine learning on graph structures.
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27
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6
Language
Python
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Last pushed
Oct 08, 2019
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