Knowledge Graph Entity Type Completion Based on Neighborhood Aggregation and CNN

Existing entity type completion models of the knowledge graph solve the entity types missing in the knowledge graph by modeling entities and entity types.However, they do not effectively use the relationships between entities, which results in the poor performance of the entity type completion of th...

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Bibliografske podrobnosti
Glavni avtor:	ZOU Changlong, AN Jingmin, LI Guanyu
Format:	Artigo
Jezik:	Inglês
Izdano:	Editorial Office of Computer Engineering 2023-03-01
Serija:	Jisuanji gongcheng
Teme:	knowledge graph\|entity type\|neighborhood aggregation\|attention mechanism\|relationship-entity pair\|convolutional neural network(cnn)
Online dostop:	http://www.ecice06.com/fileup/1000-3428/PDF/20230316.pdf
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Knowledge Graph Entity Type Completion Based on Neighborhood Aggregation and CNN

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