NetherNova/event-kge
Knowledge Graph Embeddings with optional event semantics
This tool helps researchers and data scientists analyze complex relationships within knowledge graphs, optionally incorporating sequential event data. You input structured knowledge graphs, often in RDF or OWL format, along with sequences of events or text. It outputs numerical representations (embeddings) that capture the meaning and connections within your data, useful for tasks like prediction or similarity analysis.
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Use this if you need to transform intricate knowledge graph structures and associated event sequences into a machine-readable format for advanced analytical tasks.
Not ideal if you are looking for a simple data visualization tool or if your data is not in a structured knowledge graph or clear sequential event format.
Stars
8
Forks
6
Language
Python
License
—
Category
Last pushed
Mar 23, 2018
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/NetherNova/event-kge"
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