Reliable knowledge graph fact prediction via reinforcement learning

Reliable knowledge graph fact prediction via reinforcement learning

Abstract Knowledge graph (KG) fact prediction aims to complete a KG by determining the truthfulness of predicted triples. Reinforcement learning (RL)-based approaches have been widely used for fact prediction. However, the existing approaches largely suffer from unreliable calculations on rule confi...

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Bibliographic Details
Main Authors: Fangfang Zhou, Jiapeng Mi, Beiwen Zhang, Jingcheng Shi, Ran Zhang, Xiaohui Chen, Ying Zhao, Jian Zhang
Format: Article
Language:English
Published: SpringerOpen 2023-11-01
Series:Visual Computing for Industry, Biomedicine, and Art
Subjects:
Knowledge graph
Fact prediction
Reinforcement learning
Entity heterogeneity
Postwalking mechanism
Online Access:https://doi.org/10.1186/s42492-023-00150-7

Internet

https://doi.org/10.1186/s42492-023-00150-7

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