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MOUNT: Modality bottlenecked knowledge graph completion with multiple guidance exploitation

delete2026-01-19
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PRE
AI
J
Jinlan Kong
赫
赫晓慧 (Xiaohui He)
H
Haichuan Fang
李盼乐 封面图
李盼乐 (Panle Li)
乔
乔梦佳 (Mengjia Qiao)
X
Xijie Cheng
H
Haofei Li
H
Huitong Feng
H
Haonan Sun
J
Jiandong Shang
DOI:10.1016/j.eswa.2026.131174delete
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摘要

摘要

En 中文
• Propose a novel MKGC method based on Variational Information Bottleneck. • Alleviate both intra-modal and inter-modal redundancy via three guidance mechanisms. • Achieve outstanding MKGC performance and exhibit excellent robustness.

期刊

Expert Systems with Applications 封面图
Expert Systems with Applications
IF:
7.5
论文数:
3.0W
被引数:
10.2W

机构

N
national supercomputing center
学者数:
19
论文数: 13
被引数: 0
Z
zhengzhou university
学者数:
1.3W
论文数: 3.5K
被引数: 2
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