2022
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
ICLR 2022poster
Traffic forecasting is a challenging problem due to complex road networks and sudden speed changes caused by various events on roads. Several models have been proposed to solve this challenging problem, with a focus on learning the spatio-temporal dependencies of roads. In this work, we propose a ne…