mlsanityData to 7 Oct 2026

Pykg2vec: A Python Library for Knowledge Graph Embedding

arXiv 1906.04239 ↗First posted 4 Jun 2019cs.AI cs.LG stat.MLcited by 9

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Abstract (arXiv)

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 is released under the MIT License and is also available in the Python Package Index (PyPI). The source code of pykg2vec is available at https://github.com/Sujit-O/pykg2vec.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2019.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 3; 2024: 0; 2025: 2.

9 papers.