ERGCN: Enhanced Relational Graph Convolution Network, an Optimization for Entity Prediction Tasks on Temporal Knowledge Graphs

Reasoning on temporal knowledge graphs, which aims to infer new facts from existing knowledge, has attracted extensive attention and in-depth research recently. One of the important tasks of reasoning on temporal knowledge graphs is entity prediction, which focuses on predicting the missing objects...

Description complète

Détails bibliographiques

Auteurs principaux:	Yinglin Wang, Xinyu Xu
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2022-12-01
Collection:	Future Internet
Sujets:	graph convolutional network temporal knowledge graphs entity prediction
Accès en ligne:	https://www.mdpi.com/1999-5903/14/12/376
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!