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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Main Authors: | Li, Qianyu, Feng, Bozheng, Tang, Xiaoli, Yu, Han, Song, Hengjie |
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Other Authors: | School of Computer Science and Engineering |
Format: | Article |
Language: | English |
Published: |
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/175818 |
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Institution: | Nanyang Technological University |
Language: | English |
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