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Enhancing Enterprise Credit Risk Assessment with Cascaded Multi-level Graph Representation Learning.
Song, Lingyun; Li, Haodong; Tan, Yacong; Li, Zhanhuai; Shang, Xuequn.
Afiliação
  • Song L; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710129, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710129, China. Electronic address: lysong@nwpu.edu.cn.
  • Li H; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710129, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710129, China. Electronic address: lihaodong@mail.nwpu.edu.cn.
  • Tan Y; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710129, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710129, China. Electronic address: tanyacong@mail.nwpu.edu.cn.
  • Li Z; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710129, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710129, China. Electronic address: lizhh@mail.nwpu.edu.cn.
  • Shang X; School of Computer Science, Northwestern Polytechnical University, Xi'an, 710129, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710129, China. Electronic address: shang@nwpu.edu.cn.
Neural Netw ; 169: 475-484, 2024 Jan.
Article em En | MEDLINE | ID: mdl-37939536

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Investimentos em Saúde / Aprendizagem Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Investimentos em Saúde / Aprendizagem Idioma: En Ano de publicação: 2024 Tipo de documento: Article