Explicit and Implicit Feature Contrastive Learning Model for Knowledge Graph Link Prediction

Knowledge graph link prediction is crucial for constructing triples in knowledge graphs, which aim to infer whether there is a relation between the entities. Recently, graph neural networks and contrastive learning have demonstrated superior performance compared with traditional translation-based mo...

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Bibliographic Details
Published in:	Sensors
Main Authors:	Xu Yuan, Weihe Wang, Buyun Gao, Liang Zhao, Ruixin Ma, Feng Ding
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Subjects:	knowledge graph link prediction contrastive learning implicit semantic feature
Online Access:	https://www.mdpi.com/1424-8220/24/22/7353

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