torchkge 0.11.2

Knowledge Graph embedding in Python and Pytorch.

TorchKGE

TorchKGE: Knowledge Graph embedding in Python and Pytorch.

• Free software: BSD license

• Documentation: https://torchkge.readthedocs.io.

History

0.10.0 (2019-07-19)

• Implemented Triplet Classification evaluation method

• Added Negative Sampler objects to standardize negative sampling methods.

0.9.0 (2019-07-17)

• Implemented HolE model (Nickel et al.)

• Implemented ComplEx model (Trouillon et al.)

• Implemented ANALOGY model (Liu et al.)

• Added knowledge graph splitting into train, validation and test instead of just train and test.

0.8.0 (2019-07-09)

• Implemented Bernoulli negative sampling as in Wang et al. paper on TransH (2014).

0.7.0 (2019-07-01)

• 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.