predict-idlab/pyRDF2Vec
🐍 Python Implementation and Extension of RDF2Vec
This tool helps data scientists and machine learning engineers transform complex knowledge graphs into a simpler, flat table format. It takes entities from your knowledge graph (like countries or products) and generates numerical feature vectors, along with relevant descriptive text. These outputs can then be fed into standard machine learning algorithms for tasks like classification or recommendation.
267 stars.
Use this if you need to convert structured information from a knowledge graph into a numerical format suitable for machine learning models, especially for tasks that benefit from understanding entity relationships and textual attributes.
Not ideal if your data isn't structured as a knowledge graph or if you primarily need to perform graph analytics directly without transforming to a feature matrix.
Stars
267
Forks
53
Language
Python
License
MIT
Category
Last pushed
Mar 01, 2026
Commits (30d)
0
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