TP-RotatE: A knowledge graph representation learning method combining path information and rules to capture complex relational patterns

• Xinliang Liu,

  Roles Conceptualization, Formal analysis, Funding acquisition

  Affiliations School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China, Nation Engineering Research Center for Agri-product Quality Traceability, Beijing Technology and Business University, Beijing, China

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• Yanyan Shi,

  Roles Methodology, Software, Writing – original draft

  Affiliations School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China, Nation Engineering Research Center for Agri-product Quality Traceability, Beijing Technology and Business University, Beijing, China

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• Yushi Xu,

  Roles Data curation

  Affiliations School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China, Nation Engineering Research Center for Agri-product Quality Traceability, Beijing Technology and Business University, Beijing, China

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• Yanzhao Ren

  Roles Validation, Writing – review & editing

  * E-mail: renyanzhao@btbu.edu.cn

  Affiliation School of Computer and Artificial Intelligence, Beijing Technology and Business University, Beijing, China

  https://orcid.org/0009-0003-8598-217X

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