SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding

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作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Li, Duantengchuan*;Xia, Tao;Wang, Jing;Shi, Fobo;Zhang, Qi;...

通讯作者：

Li, Duantengchuan;Li, B;Zhang, Q

作者机构：

[Li, Duantengchuan; Li, Bing; Xia, Tao] Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China.

[Wang, Jing] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing 400065, Peoples R China.

[Shi, Fobo] Cent China Normal Univ, Natl Engn Res Ctr Elearning, Wuhan 430079, Peoples R China.

[Zhang, Qi; Zhang, Q] Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.

[Li, Bing] Hubei Luojia Lab, Wuhan 430079, Peoples R China.

通讯机构：

[Li, DTC; Li, B ] W

[Zhang, Q ] C

Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China.

Cent China Normal Univ, Sch Informat Management, Wuhan 430079, Peoples R China.

Hubei Luojia Lab, Wuhan 430079, Peoples R China.

语种：

英文

关键词：

Link prediction;Knowledge graph embedding;Shallow interaction;Deep interaction;Attention mechanism;Vector tokenization

期刊：

Knowledge-Based Systems

ISSN：

0950-7051

年：

2024

卷：

284

页码：

111253

DOI：

10.1016/j.knosys.2023.111253

基金类别：

National Natural Science Foun-dation of China [62032016, 62377007]; Key Research and Development Program of Hubei Province, China [2021BAA031]

机构署名：

本校为通讯机构

院系归属：

信息管理学院

国家数字化学习工程技术研究中心

摘要：

Inferring missing information from current facts in a knowledge graph (KG) is the target of the link prediction task. Currently, existing methods embed the entities and relations of KG as a whole into a low-dimensional vector space. Nonetheless, they ignore the multi-level interactions (shallow interactions, deep interactions) among the finer-grained sub-features of entities and relations. To overcome these limitations, we present a shallow-to-deep feature interaction for knowledge graph embedding (SDFormer). It takes into account the interpretability of sub-feature tokens of entities and rela...

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SDFormer: A shallow-to-deep feature interaction for knowledge graph embedding

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