[DEPRECATED] Scoring models for the task of Automatic Knowledge Base Completion implemented with TensorFlow.
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README.md
__init__.py
eval.py
kb.py
rprop.py
sampler.py
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train.py

README.md

General Information

This repo is DEPRECATED and is not supported anymore.

This repository contains implementations for a variety of AKBC (Automatic Knowledge Base Completion) scoring models. In its current version only scoring models for triples (subject, predicate, object) are supported.

It also supports compositional scoring models using various composition functions.

Training and Supported Datasets

Currently only the FB15k-237 dataset is supported, which was introduced here and here.

For training see command line options of train.py.

Installation

requires: tensorflow, pandas

For further questions, please don't hesitate to contact.

Contact: dirk.weissenborn@dfki.de