V. P Orekoya

Hybrid Spatio-Temporal Crime Forecasting with Graph Neural Networks

Traditional crime forecasting models often struggle with the complex, interconnected dynamics of urban crime, primarily because they analyze spatial and temporal factors in isolation. This paper introduces a novel hybrid deep learning framework designed to overcome these limitations by modeling crime as a dynamic spati...