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DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting [article]

Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, Chenxing Wang
2021
Meanwhile, we integrate the dynamic multi-graph convolution network into the gated recurrent unit (GRU) to capture temporal dependence.  ...  In this paper, we propose a novel dynamic multi-graph convolution recurrent network (DMGCRN) to tackle above issues, which can model the spatial correlations of distance, the spatial correlations of structure  ...  CONCLUSION In this paper, we propose a novel dynamic multi-graph convolution recurrent network for traffic forecasting.  ... 
doi:10.48550/arxiv.2112.02264 fatcat:jrlddlzhkzddxinr7wn5odlcii