Hybrid attention mechanism for few‐shot relational learning of knowledge graphs
Abstract Few‐shot knowledge graph (KG) reasoning is the main focus in the field of knowledge graph reasoning. In order to expand the application fields of the knowledge graph, a large number of studies are based on a large number of training samples. However, we have learnt that there are actually m...
Main Authors: | Ruixin Ma, Zeyang Li, Fangqing Guo, Liang Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-12-01
|
Series: | IET Computer Vision |
Subjects: | |
Online Access: | https://doi.org/10.1049/cvi2.12066 |
Similar Items
-
Adaptive Attentional Network for Few-Shot Relational Learning of Knowledge Graphs
by: Ruixin Ma, et al.
Published: (2022-04-01) -
Pyramid Co-Attention Compare Network for Few-Shot Segmentation
by: Defu Zhang, et al.
Published: (2021-01-01) -
A Semantic Mapping Method of Relation Representation Enhancement for Few-Shot Knowledge Graph Completion
by: Haitao He, et al.
Published: (2022-11-01) -
Few-Shot Knowledge Graph Completion Based on Selective Attention
by: LIN Sui, LU Chaohai, JIANG Wenchao, LIN Xiaoshan, ZHOU Weilin
Published: (2024-03-01) -
Knowledge and inference /
by: 210630 Makoto, Nagao, et al.
Published: (1988)