dwslab/jRDF2Vec
A high-performance Java Implementation of RDF2Vec
This project helps researchers and data scientists transform complex knowledge graphs into numerical representations, called embeddings. You provide it with a knowledge graph file (like NT, TTL, or HDT) and it outputs vector embeddings for the entities within your graph. This tool is designed for anyone working with semantic data and knowledge graphs who needs to apply machine learning techniques like similarity search or classification.
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Use this if you need to convert your knowledge graph data into a format suitable for machine learning algorithms, enabling tasks like predicting relationships or finding similar entities.
Not ideal if you are working with simple tabular data or do not need to analyze relationships within a structured knowledge graph.
Stars
48
Forks
8
Language
Java
License
MIT
Category
Last pushed
Feb 16, 2023
Commits (30d)
0
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