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Introducing AmpliGraph: a TensorFlow-based Library for Knowledge Graph Embeddings

From: Costabello, Luca <luca.costabello@accenture.com>
Date: Wed, 3 Apr 2019 13:41:11 +0000
To: "public-lod@w3.org" <public-lod@w3.org>, "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <76B1B068-BA9B-4922-BDFF-18B937EFF899@accenture.com>
Hello everybody,

We are happy to share AmpliGraph, a suite of neural machine learning models for relational representation learning.

You can use it to discover new knowledge from an existing knowledge graph, find missing statements, or play around with embeddings generated from graphs.

We designed APIs and documentation to make knowledge graph embeddings accessible to inexperienced users, while also giving researchers a shared library to assess the performance of new models for fair and reproducible experiments.

AmpliGraph natively supports RDF graphs, and we hope it can be a useful tool for the Web of Data community.

Anybody interested in machine learning on graphs (whether this means using AmpliGraph in your project, or extending the codebase), just feel free to ping us - many ways to contribute!

AmpliGraph is licensed under the Apache 2.0 licence.

pip install ampligraph

GitHub: http://ampligraph.org

Documentation and examples: https://docs.ampligraph.org



Luca
Accenture Labs Dublin

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Received on Thursday, 4 April 2019 09:23:41 UTC

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