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Efficient cluster-guided key timestamp discovery for temporal knowledge graph completion

delete2025-10-06
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PRE
AI
Y
Yao Xiao
G
Guangyou Zhou
谢志文 cover
谢志文 (Zhiwen Xie)
J
Jin Liu
J
Jimmy Xiangji Huang
DOI:10.1016/j.knosys.2025.114537delete
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Abstract

Abstract

En 中文
• Effectively addresses the “time lag” problem in temporal KG completion. • Instruction-tuned language models guide relation clustering in temporal KGs. • Discovers key timestamps via temporal analysis using relation clustering. • Historical view contrastive learning enhances relevant entity representations.

Journal

K
Knowledge-Based Systems
IF:
7.6
Papers:
1.2W
Citations:
4.5W

Organization

C
Central China Normal University
Scholars:
1.1W
Papers: 8.1K
Citations: 1.1W
Y
York University
Scholars:
1.0K
Papers: 586
Citations: 1.5K
W
wuhan university
Scholars:
8.0W
Papers: 5.8W
Citations: 70
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