A package for training and evaluating knowledge graph embeddings

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  • License: MIT License (MIT License)
  • Author: Mehdi Ali
  • Maintainer: Mehdi Ali
  • Tags Knowledge Graph Embeddings, Machine Learning, Data Mining, Linked Data
Classifiers

Project description

PyKEEN (Python KnowlEdge EmbeddiNgs) is a package for training and evaluating knowledge graph embeddings.

The system has a modular architecture, and can be configured by the user through the command line interface.

Currently, the framework is under heavy development.

Installation

  1. PyKEEN can be installed with the following commands:

python3 -m pip install git+https://github.com/SmartDataAnalytics/PyKEEN.git@master

  1. or in editable mode with:

$ git clone https://github.com/SmartDataAnalytics/PyKEEN.git pykeen
$ cd pykeen
$ python3 -m pip install -e .

How to Use

To start PyKEEN, please run the following command:

pykeen

or alternatively:

python3 -m pykeen

then the command line interface will assist you to configure your experiments.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for cthoyt from gravatar.com cthoyt Avatar for ddomingof from gravatar.com ddomingof Avatar for mali90 from gravatar.com mali90

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License)
  • Author: Mehdi Ali
  • Maintainer: Mehdi Ali
  • Tags Knowledge Graph Embeddings, Machine Learning, Data Mining, Linked Data
Classifiers

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1.11.0

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This version

0.0.1

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