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Knowledge Graph embedding in Python and Pytorch.

Project description

TorchKGE

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TorchKGE: Knowledge Graph embedding in Python and Pytorch.

Features

  • Translational models (TransE, TransH, TransR, TransD)

  • Semantic Matching models (RESCAL, DistMult)

More models to come.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.7.0 (2019-06-01)

  • Implemented Mean Reciprocal Rank measure of performance.

  • Implemented Logistic Loss.

  • Changed implementation of margin loss to use torch methods.

0.6.0 (2019-06-25)

  • Implemented DistMult

0.5.0 (2019-06-24)

  • Changed implementation of LinkPrediction ranks by moving functions to model methods.

  • Implemented RESCAL.

0.4.0 (2019-05-15)

  • Fixed a major bug/problem in the Evaluation protocol of LinkPrediction.

0.3.1 (2019-05-10)

  • Minor bug fixes in the various normalization functions.

0.3.0 (2019-05-09)

  • Fixed CUDA support.

0.2.0 (2019-05-07)

  • Added support for filtered performance measures.

0.1.7 (2019-04-03)

  • First real release on PyPI.

0.1.0 (2019-04-01)

  • First release on PyPI.

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