It is essential to predict crowd flow precisely in a city, which practically partitioned into irregular regions based on road networks and functionality. However, prior works mainly focus grid-based prediction, where city divided many regular grids. Although Convolutional Neural Netwok (CNN) powerful capture spatial dependence from Euclidean data, it fails tackle non-Euclidean reflect the corre...