Metadata-Version: 1.1
Name: torchkge
Version: 0.16.3
Summary: Knowledge Graph embedding in Python and PyTorch.
Home-page: https://github.com/torchkge-team/torchkge
Author: TorchKGE Developers
Author-email: aboschin@enst.fr
License: BSD license
Description: ========
        TorchKGE
        ========
        
        .. image:: https://graphs.telecom-paristech.fr/images/logo_torchKGE_small.png
            :align: right
            :width: 100px
            :alt: logo torchkge
        
        .. image:: https://img.shields.io/pypi/v/torchkge.svg
                :target: https://pypi.python.org/pypi/torchkge
        
        .. image:: https://travis-ci.org/torchkge-team/torchkge.svg?branch=master
            :target: https://travis-ci.org/torchkge-team/torchkge
        
        .. image:: https://readthedocs.org/projects/torchkge/badge/?version=latest
            :target: https://torchkge.readthedocs.io/en/latest/?badge=latest
            :alt: Documentation Status
        
        .. image:: https://pyup.io/repos/github/torchkge-team/torchkge/shield.svg
             :target: https://pyup.io/repos/github/torchkge-team/torchkge/
             :alt: Updates
        
        
        
        TorchKGE: Knowledge Graph embedding in Python and Pytorch.
        
        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 highly efficient
        evaluation module for the  link prediction task,  a central application of KG embedding. It has been observed to be up
        to five times faster than `Ampligraph <https://docs.ampligraph.org/>`_ and twenty-four times faster than
        `OpenKE <https://github.com/thunlp/OpenKE>`_. 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.
        
        A paper will be out soon !
        
        * Free software: BSD license
        * Documentation: https://torchkge.readthedocs.io.
        
Keywords: torchkge
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.7
