Cybercrime Prediction via Geographically Weighted Learning

Muhammad Al-Zafar Khan, Jamal Al-Karaki, Emad Mahafzah

Inspired by the success of Geographically Weighted Regression and its accounting for spatial variations, we propose GeogGNN -- A graph neural network model that accounts for geogra…