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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...
Autores principales: | Zhou, Fangfang, Mi, Jiapeng, Zhang, Beiwen, Shi, Jingcheng, Zhang, Ran, Chen, Xiaohui, Zhao, Ying, Zhang, Jian |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2023
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Materias: | |
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 |
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