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TRTMPM: Tight-coupling reasoning task message passing model for multi-modal knowledge graph completion

delete2026-04-20
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PRE
AI
B
Bo Li
B
Bin Song *
DOI:10.1016/j.neucom.2026.133740delete
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Abstract

Abstract

En 中文
• A tight-coupling reasoning task message passing model called TRTMPM is proposed. • A cross-modal attention network for extracting multi-modal information is designed. • A dual-track message passing network is designed to capture structural information. • The TRTMPM outperforms other models on multi-modal knowledge graph completion.
Keywords:
TRTMPM
multi-modal knowledge graph completion
message passing
cross-modal attention
dual-track network

Journal

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

Organization

No organization information available
Cited Papers

Cited Papers

A Survey of Multi-modal Knowledge Graphs: Technologies and Trends
err2024-06-28
err0
errOAAI
errLiang, Wanying; De Meo, Pasquale; Tang, Yong; Zhu, Jia
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Contrastive Multi-Modal Knowledge Graph Representation Learning
err2023-09-01
err8
PREAI
errFang, Quan; Zhang, Xiaowei; Hu, Jun; Wu, Xian; Xu, Changsheng
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Fusing visual and textual content for knowledge graph embedding via dual-track model
err2022-10-01
err3
PREAI
errLi, Yancong; Zhang, Xiaoming; Wang, Fang; Zhang, Bo; Huang, Feiran
errShare
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Modeling Relation Paths for Knowledge Graph Completion
err2021-11-01
err119
PREAI
errShen, Ying; Ding, Ning; Zheng, Hai-Tao; Li, Yaliang; Yang, Min
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