tjuzhangfx / TransRHS

TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure (IJCAI-PRICAI'2020)

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TransRHS

INTRODUCTION

TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure (IJCAI-PRICAI'2020)

Written by Fuxiang Zhang

COMPILE

Just type make in the folder ./

DATA

Sport and Location are published by the author of the paper "Knowledge Base Completion Using Embeddings and Rules (2015)."

For data preprocessing, please refer to Data_preprocessing_for_TransRHS.pdf.

CITE

If the codes or datasets help you, please cite the following paper:

Fuxiang Zhang, Xin Wang, Zhao Li, Jianxin Li. TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure. The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence. (IJCAI-PRICAI'2020).

About

TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure (IJCAI-PRICAI'2020)


Languages

Language:C++ 99.1%Language:Makefile 0.9%