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MuLAN: multi-level attention-enhanced matching network for few-shot knowledge graph completion

Recent years have witnessed increasing interest in the few-shot knowledge graph completion due to its potential to augment the coverage of few-shot relations in knowledge graphs. Existing methods often use the one-hop neighbors of the entity to enhance its embedding and match the query instance and...

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書目詳細資料
Main Authors: Li, Qianyu, Feng, Bozheng, Tang, Xiaoli, Yu, Han, Song, Hengjie
其他作者: School of Computer Science and Engineering
格式: Article
語言:English
出版: 2024
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在線閱讀:https://hdl.handle.net/10356/175818
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