Learning Local Heterogeneity and Cross-Region Context for Large-Scale Traffic Forecasting
LoReST is a Local-Region Spatial Temporal network that models spatial dependencies at two complementary granularities: node neighborhoods and road network regions that is able to effectively achieve spatial dependency learning in large-scale road networks.
Qi Feng, Zi-Dong Wang, Bo Li et al.
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