Accenture/AmpliGraph
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
Implements multiple neural embedding models (TransE, DistMult, ComplEx, HolE, RotatE) that map knowledge graph entities and relations to vector spaces, then score candidate triples using model-specific functions for link prediction. Built on TensorFlow 2 with Keras-style APIs, it provides evaluation protocols (mean reciprocal rank filtering), entity clustering, and duplicate detection through a high-level discovery module for end-to-end knowledge graph completion tasks.
2,228 stars and 737 monthly downloads. No commits in the last 6 months. Available on PyPI.
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2,228
Forks
254
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 22, 2024
Monthly downloads
737
Commits (30d)
0
Dependencies
20
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