Reliable knowledge graph fact prediction via reinforcement learning

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 confidences ow...

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Detalles Bibliográficos
Autores principales: Zhou, Fangfang, Mi, Jiapeng, Zhang, Beiwen, Shi, Jingcheng, Zhang, Ran, Chen, Xiaohui, Zhao, Ying, Zhang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657918/
https://www.ncbi.nlm.nih.gov/pubmed/37981625
http://dx.doi.org/10.1186/s42492-023-00150-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657918/
https://www.ncbi.nlm.nih.gov/pubmed/37981625
http://dx.doi.org/10.1186/s42492-023-00150-7

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