fig3
Figure 3. Training curves of different traffic prediction models over 500 epochs in terms of (A) training loss; (B) mean squared error (MSE); (C) mean absolute error (MAE); and (D) root mean squared error (RMSE). DAGWN: Disturbance-Aware Graph WaveNet; GWN: Graph WaveNet; DCRNN: Diffusion Convolutional Recurrent Neural Network; DGCRN: Dynamic Graph Convolutional Recurrent Network; STGCN: Spatio-Temporal Graph Convolutional Network; STAEformer: Spatio-Temporal Adaptive Embedding Transformer.



