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DMGCRN: Dynamic Multi-Graph Convolution Recurrent Network for Traffic Forecasting
[article]
2021
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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