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2019

Pykg2vec: A Python Library for Knowledge Graph Embedding

Yu, Shih Yuan, Chhetri, Sujit Rokka, Canedo, Arquimedes et al.

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Pykg2vec is an open-source Python library for learning the representations of the entities and relations in knowledge graphs.

Pykg2vec's flexible and modular software architecture currently implements 16 state-of-the-art knowledge graph embedding algorithms, and is designed to easily incorporate new algorithms.
The goal of pykg2vec is to provide a practical and educational platform to accelerate research in knowledge graph representation learning.
Pykg2vec is built on top of TensorFlow and Python's multiprocessing framework and provides modules for batch generation, Bayesian hyperparameter optimization, mean rank evaluation, embedding, and result visualization.

Pykg2vec: A Python Library for Knowledge Graph Embedding · Around

Built on

Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, et al · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor · 2008
Earlier work this paper cites.
Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko · 2013
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