TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning
-
Updated
Aug 24, 2018 - Python
TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning
STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)
Reproduceing the models of Knowledge Representation Learning (KRL), such as TransE, TransH etc.
A simple implement of TransE, the ML algorithm published in 2013
A TensorFlow-based implementation of knowledge graph embedding models.
It is the java implantation of paper "Translating Embeddings for Modeling Multi-relational Data".
Tongji Univ. xLab Knowledge Reasoning 2019
TransE implementation in Spark (pyspark)
Knowledge graph models manipulator which allows to perform various evaluations of provided embedders
Add a description, image, and links to the transe topic page so that developers can more easily learn about it.
To associate your repository with the transe topic, visit your repo's landing page and select "manage topics."