  TorchKGE is a Python module for knowledge graph (KG) embedding relying solely
on PyTorch. This package provides researchers and engineers with a clean and
efficient API to design and test new models. It features a KG data structure,
simple model interfaces and modules for negative sampling and model evaluation.
Its main strength is a very fast evaluation module for the link prediction
task, a central application of KG embedding. Various KG embedding models are
also already implemented. Special attention has been paid to code efficiency
and simplicity, documentation and API consistency. It is distributed using PyPI
under BSD license. Source code and pointers to documentation and deployment can
be found at https://github.com/torchkge-team/torchkge.
