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

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

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...