Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion

• المؤلفون الرئيسيون: Li, Qianyu, Yao, Jiale, Tang, Xiaoli, Yu, Han, Jiang, Siyu, Yang, Haizhi, Song, Hengjie
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Few-Shot Knowledge Graph Completion; Knowledge Graph
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/172789
• المؤسسة: Nanyang Technological University

Few-shot Knowledge Graph Completion (FKGC) has recently attracted significant research interest due to its ability to expand few-shot relation coverage in Knowledge Graphs. Prevailing FKGC approaches focus on exploiting the one-hop neighbor information of entities to enhance few-shot relation embedd...