Researchers at Purdue University and Peking University have recently carried out a study aimed at better understanding road networks in cities worldwide using machine-learning tools. Their paper, published in Nature Machine Intelligence, outlines the results of an in-depth, data-driven analysis of road map-related data captured in 30 cities worldwide.
source https://www.lifetechnology.com/blogs/life-technology-technology-news/using-graph-neural-networks-to-measure-the-spatial-homogeneity-of-road-networks
