SUKE: Embedding Model for Prediction in Uncertain Knowledge Graph

Graph embedding models are widely used in knowledge graph completion (KGC) task. However, most models are based on the assumption that knowledge is completely certain, and this is inconsistent with real-world situations. Although there are multiple studies on uncertain knowledge embedding tasks, the...

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Detalles Bibliográficos

Autores principales:	Jingbin Wang, Kuan Nie, Xinyuan Chen, Jing Lei
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2021-01-01
Colección:	IEEE Access
Materias:	Artificial intelligence knowledge representation uncertain knowledge graph
Acceso en línea:	https://ieeexplore.ieee.org/document/9306835/
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