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A context-aware temporal knowledge graph completion method based on logical paths

delete2026-02-13
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PRE
AI
Y
Yuchao Zhang
X
Xiangjie Kong *
K
Kailun Ye
S
Shangfei Zheng
Q
Qihong Pan
G
Guojiang Shen
李建新 cover
李建新 (Jianxin Li)
DOI:10.1016/j.neucom.2026.133049delete
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Abstract

Abstract

En 中文
• Presents a context-aware logical path-based temporal knowledge graph completion method. • Merges context-aware and logical paths to boost entity prediction accuracy. • Query-time enhancement mechanism improves the adaptability of query-related logical paths. • Outperforms previous methods on Three benchmark temporal knowledge graph datasets.
Keywords:
context-aware
logical paths
temporal knowledge graph
entity prediction
query-time enhancement

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

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Z
zhejiang sci-tech university
Scholars:
818
Papers: 292
Citations: 0
Z
Zhejiang University of Technology
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3.2K
Papers: 1.1K
Citations: 3.0W
E
edith cowan university
Scholars:
1.1K
Papers: 595
Citations: 1
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