Application of GNN in Urban Computing

Abstract

Urban computing is an emerging discipline to improve the quality of people’s life in city. This paper studies data processing which is one of the challenges of urban computing. The author compares different applications of urban computing using Graph Neural Network (GNN) for data processing, and draws the conclusion that GNN does have better results in the data processing of urban computing. By studying the different applications of GNN in urban computing, this paper shows the superiority of GNN in urban computing, and makes suggestions for the future application of GNN in urban computing at the same time.