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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Main Authors: | , , , , , , |
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格式: | Article |
語言: | English |
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2024
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在線閱讀: | https://hdl.handle.net/10356/181469 |
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機構: | Nanyang Technological University |
語言: | English |