Abstract
This research aims to understand the frequency behavior of crime in Brazilian cities by studying past crime, urban, and social events to predict future crime events. The plan is to take into account a graph structure and temporal data of the city to predict how crime "flows", using methods such as graph signal processing and deep learning. A PhD fellowship will enable the selection of a s…