#graph neural networks
Sep 2026
A dynamic graph convolutional network with multiscaled attention for traffic prediction
This paper aims to propose attention-based dynamic graph convolutional recurrent neural network (ADGCRNN) for highway traffic flow prediction, which outperforms state-of-the-art baseline models and realizes multiresolution temporal fusion via self-attention.
Wei-Long Ding, Rui-Zhi Xue, Qi Yu et al.
· International Journal of Web... · 0 citations