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Information-controlled graph convolutional network for multi-view semi-supervised classification.

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第一作者： Yongquan,Shi

第一单位： College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China; Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, 350108, China. Electronic address: losparksayoji@outlook.com.

作者： Yongquan,Shi ^[1] ; Yueyang,Pi ^[2] ; Zhanghui,Liu ^[3] ; Hong,Zhao ^[4] ; Shiping,Wang ^[5]

作者单位： College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China; Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, 350108, China. Electronic address: losparksayoji@outlook.com. ^[1] College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China; Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, 350108, China. Electronic address: piyueyangcc@163.com. ^[2] College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China. Electronic address: lzh@fzu.edu.cn. ^[3] School of Computer Science, Minnan Normal University, Zhangzhou, 363000, China; Key Laboratory of Data Science and Intelligence Application, Minnan Normal University, Zhangzhou, 363000, China. Electronic address: hongzhaocn@163.com. ^[4] College of Computer and Data Science, Fuzhou University, Fuzhou, 350108, China; Key Laboratory of Intelligent Metro, Fujian Province University, Fuzhou, 350108, China. Electronic address: shipingwangphd@163.com. ^[5]

关键词 Graph convolutional network Layer normalization Multi-view learning Semi-supervised classification

医学主题词算法(Algorithms);人类(Humans)

DOI 10.1016/j.neunet.2024.107102

PMID 39765042

发布时间 2025-04-29

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