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Location-aware convolutional neural networks for graph classification.

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第一作者： Zhaohui,Wang

第一单位： Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China. Electronic address: wangzhaohui18b@ict.ac.cn.

作者： Zhaohui,Wang ^[1] ; Qi,Cao ^[2] ; Huawei,Shen ^[3] ; Bingbing,Xu ^[4] ; Keting,Cen ^[5] ; Xueqi,Cheng ^[6]

作者单位： Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China. Electronic address: wangzhaohui18b@ict.ac.cn. ^[1] Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China. Electronic address: caoqi@ict.ac.cn. ^[2] Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China; Beijing Academy of Artificial Intelligence, China. Electronic address: shenhuawei@ict.ac.cn. ^[3] Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China. Electronic address: xubingbing@ict.ac.cn. ^[4] Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China. Electronic address: cenketing@ict.ac.cn. ^[5] CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences, China; University of Chinese Academy of Sciences, China. Electronic address: cxq@ict.ac.cn. ^[6]

关键词 Convolutional neural networks Graph classification Location-aware

医学主题词学习(Learning)

DOI 10.1016/j.neunet.2022.07.035

PMID 36041282

发布时间 2022-10-25

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