Attention-based gated recurrent graph convolutional network for short-term traffic flow forecasting

HIGHLIGHTS

• who: Attention-Based Gated Recurrent Graph and colleagues from the School of Information Engineering, Wuhan University of Technology, Wuhan, Huber, China have published the Article: Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting, in the Journal: Journal of Mathematics of 19/04/2023
• what: Te experimental results show that the model has certain advantages. The authors propose a framework for spatial-temporal trafc fow prediction based on graph convolution and gated recurrent unit with attention mechanism. In the results visualization module, the output values of the model are denormalized and . . .
  

   

  

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