STGATN: A novel spatiotemporal graph attention network for predicting pollutant concentrations at multiple stations

• Huazhen Xu,

  Roles Conceptualization, Data curation, Methodology, Resources, Validation, Visualization, Writing – original draft

  Affiliation College of Yongyou Digital and Intelligence, Nantong Institute of Technology, Nantong, People’s Republic of China

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• Wei Song,

  Roles Conceptualization, Investigation

  Affiliation College of Yongyou Digital and Intelligence, Nantong Institute of Technology, Nantong, People’s Republic of China

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• Lanmei Qian,

  Roles Conceptualization, Formal analysis, Investigation

  Affiliation College of Yongyou Digital and Intelligence, Nantong Institute of Technology, Nantong, People’s Republic of China

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• Xiangxiang Mei,

  Roles Conceptualization, Funding acquisition, Supervision

  Affiliation College of Yongyou Digital and Intelligence, Nantong Institute of Technology, Nantong, People’s Republic of China

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• Guojian Zou

  Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Writing – review & editing

  * E-mail: guojianzou@tongji.edu.cn

  Affiliations The Key Laboratory of Road and Traffic Engineering, Ministry of Education, Tongji University, Shanghai, People’s Republic of China, College of Transportation Engineering, Tongji University, Shanghai, People’s Republic of China, Department of Geography, University of Zurich, Zurich, Switzerland

  https://orcid.org/0000-0003-3597-6874

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