Knowledge reasoning method based on deep transfer reinforcement learning: DTRLpath

In recent years, with the continuous development of deep learning and knowledge graph reasoning methods, more and more researchers have shown great interest in improving knowledge graph reasoning methods by inferring missing facts through reasoning. By searching paths on the knowledge graph and maki...

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Bibliographic Details
Main Authors: Lin, Shiming, Ye, Ling, Zhuang, Yijie, Lu, Lingyun, Zheng, Shaoqiu, Huang, Chenxi, Ng, Eddie Yin Kwee
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/181469
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Institution: Nanyang Technological University
Language: English

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