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Hypergraph-based multi-relational attention network for aspect-based multimodal sentiment analysis

delete2026-05-19
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PRE
AI
Y
Yaqi Zhuo
L
Lisong Ou
李志新 cover
李志新 (Zhixin Li) *
DOI:10.1016/j.asoc.2026.115472delete
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Abstract

Abstract

En 中文
• We propose HyMAN to enhance multimodal aspect-based sentiment analysis. • We construct a dynamic hypergraph for complex cross-modal relationships. • We design a Dual-stream Cross-excitation Layer for improved multimodal fusion. • Our model achieves state-of-the-art results.
Keywords:
HyMAN
multimodal sentiment analysis
hypergraph
cross-modal relationships
dual-stream cross-excitation layer

Journal

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

Organization

G
guilin university of technology
Scholars:
2.6K
Papers: 739
Citations: 0
G
guangxi normal university
Scholars:
1.8K
Papers: 605
Citations: 0