Mingyu Deng

UniTR: A Unified Framework for Joint Representation Learning of Trajectories and Road Networks

Representation learning of urban spatial-temporal data is fundamental and critical, serving a wide range of intelligent applications. Given that road networks and trajectories are inherently interrelated, their joint representation learning can significantly enhance the accuracy and utility of these…