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Hypergraph representation learning based on fuzzy attention network

delete2025-07-18
delete0
PRE
AI
L
Liyan Zhang
Y
Yifan Li
X
Xinghui Hao
Q
Qinyu Zhang
A
Aimin Yang *
J
Jingfeng Guo *
L
Lei Zhang
DOI：10.1016/j.asoc.2025.113602delete
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Abstract

Abstract

En 中文
• The FHATN model with fuzzy membership as the attention coefficient is proposed. • Vertex fuzzy attention mechanism is used for hyperedge feature learning. • Hyperedge fuzzy attention mechanism is used for vertex feature learning.
Keywords:
FHATN
fuzzy membership
vertex fuzzy attention
hyperedge fuzzy attention
feature learning

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

Organization

H
Handan Hospital of Traditional Chinese Medicine
Scholars:
3
Papers: 3
Citations: 0
N
North China University of Science and Technology
Scholars:
1.9K
Papers: 585
Citations: 5.2K
Y
Yanshan University
Scholars:
1.7W
Papers: 1.1W
Citations: 1.3W
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