CSGNN: Contamination Warning and Control of Food Quality via Contrastive Self-Supervised Learning-Based Graph Neural Network.

Yan, Junyi; Li, Hongyi; Zuo, Enguang; Li, Tianle; Chen, Chen; Chen, Cheng; Lv, Xiaoyi

Yan, Junyi; Li, Hongyi; Zuo, Enguang; Li, Tianle; Chen, Chen; Chen, Cheng; Lv, Xiaoyi.

Afiliação

Yan J; College of Software, Xinjiang University, Urumqi 830046, China.
Li H; Guangzhou Panyu Polytechnic, No. 1342 Shiliang Road, Guangzhou 511483, China.
Zuo E; College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Li T; College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Chen C; College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
Chen C; College of Software, Xinjiang University, Urumqi 830046, China.
Lv X; College of Software, Xinjiang University, Urumqi 830046, China.

Foods ; 12(5)2023 Mar 01.

Article em En | MEDLINE | ID: mdl-36900566

Palavras-chave

contamination warning; contrastive learning; food quality safety; graph neural networks; self-supervised learning

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Foods Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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