Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion.

Li, Qianyu; Yao, Jiale; Tang, Xiaoli; Yu, Han; Jiang, Siyu; Yang, Haizhi; Song, Hengjie

Li, Qianyu; Yao, Jiale; Tang, Xiaoli; Yu, Han; Jiang, Siyu; Yang, Haizhi; Song, Hengjie.

Afiliação

Li Q; School of Software Engineering, South China University of Technology, Guangzhou, China.
Yao J; School of Software Engineering, South China University of Technology, Guangzhou, China.
Tang X; School of Computer Science and Engineering, Nanyang Technological University, Singapore.
Yu H; School of Computer Science and Engineering, Nanyang Technological University, Singapore.
Jiang S; Guangzhou Key Laboratory of Multilingual Intelligent Processing, School of Information Science and Technology, Guangdong University of Foreign Studies, Guangzhou, China.
Yang H; School of Software Engineering, South China University of Technology, Guangzhou, China.
Song H; School of Software Engineering, South China University of Technology, Guangzhou, China. Electronic address: sehjsong@scut.edu.cn.

Neural Netw ; 164: 323-334, 2023 Jul.

Article em En | MEDLINE | ID: mdl-37163848

Assuntos

Conhecimento; Reconhecimento Automatizado de Padrão; Aprendizagem; Memória de Longo Prazo; Redes Neurais de Computação

Palavras-chave

Capsule network; Few-shot knowledge graph completion; Few-shot learning; Knowledge graph; Neural tensor network

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reconhecimento Automatizado de Padrão / Conhecimento Idioma: En Revista: Neural Netw Assunto da revista: NEUROLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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