Deep spatio-temporal graph network with self-optimization for air quality prediction

HIGHLIGHTS

  • who: Xue-Bo Jin and colleagues from the Artificial Intelligence College, Beijing Technology and Business University, Beijing, China have published the paper: Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction, in the Journal: Entropy 2023, 25, x FOR PEER REVIEW of /2023/
  • what: To solve this problem the authors propose a time series prediction network with the self-optimization ability of a spatio-temporal graph neural network (BGGRU) to mine the changing pattern of the time series and the spatial propagation effect. It can be seen that the model proposed in . . .

     

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