HyGL-STNet: hybrid graph learning with parallel decoupling for spatio-temporal forecasting
With the proliferation of the Internet of Things (IoT) and wireless sensor networks (WSNs) in modern cities, massive amounts of real-time traffic monitoring data are continuously collected from distributed sensors. Accurate spatio-temporal forecasting on graph-structured data remains challenging due to the coexistence...