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A dual-path dynamic directed graph convolutional network for air quality prediction.

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第一作者： Xiao,Xiao

第一单位： School of Telecommunications Engineering, Xidian University, Xi'an 710071, Shaanxi, China. Electronic address: xiaoxiao@xidian.edu.cn.

作者： Xiao,Xiao ^[1] ; Zhiling,Jin ^[2] ; Shuo,Wang ^[3] ; Jing,Xu ^[4] ; Ziyan,Peng ^[5] ; Rui,Wang ^[6] ; Wei,Shao ^[7] ; Yilong,Hui ^[8]

作者单位： School of Telecommunications Engineering, Xidian University, Xi'an 710071, Shaanxi, China. Electronic address: xiaoxiao@xidian.edu.cn. ^[1] School of Telecommunications Engineering, Xidian University, Xi'an 710071, Shaanxi, China. Electronic address: jinzhiling@stu.xidian.edu.cn. ^[2] School of Systems Science, Beijing Normal University, Beijing, 100875, China. Electronic address: wangshuo.sss@mail.bnu.edu.cn. ^[3] School of Systems Science, Beijing Normal University, Beijing, 100875, China. ^[4] School of Telecommunications Engineering, Xidian University, Xi'an 710071, Shaanxi, China. Electronic address: ziyanpeng@stu.xidian.edu.cn. ^[5] School of Electronic Information, Sichuan University, Chengdu 610065, Sichuan, China. ^[6] School of Computing Technologies, RMIT University, Melbourne, Victoria 3000, Australia. Electronic address: wei.shao@rmit.edu.au. ^[7] School of Telecommunications Engineering, Xidian University, Xi'an 710071, Shaanxi, China; The State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, Shaanxi, China. Electronic address: ylhui@xidian.edu.cn. ^[8]

关键词 Air quality prediction Dual-path Dynamic directed graph Graph convolutional network Wind field

医学主题词空气污染(Air Pollution);预测(Forecasting);颗粒物(Particulate Matter);风(Wind)

DOI 10.1016/j.scitotenv.2022.154298

PMID 35271925

发布时间 2022-05-10

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