Research on Development of TransX Knowledge Representation Methods
DU Xiaojuan
TAO Yizheng
LI Gongliang
Abstract：In recent years,knowledge graphs have been widely used in search engines and intelligent recommendation sys-tems,and knowledge representation as a key technology of knowledge graphs has received extensive attention.The knowledge repre-sentation method based on translation models represented by TransE has the advantages of easy understanding,low complexity,and high computational efficiency.At the same time,TransX has good knowledge expression preformance.This paper summarizes the TransX models,and analyzes the improvement between different models and compares their knowledge representation capabilities.It is a reference for the advancement of knowledge representation methods.
Keywords：knowledge graphknowledge representationTransETransHTransR
Publication Date：2023-11-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 2515-2517 )