Spatial-Temporal Meta-path Guided Explainable Crime Prediction. (arXiv:2205.01901v2 [cs.LG] UPDATED)

Exposure to crime and violence can harm individuals' quality of life and the
economic growth of communities. In light of the rapid development in machine
learning, there is a rise in the need to explore automated solutions to prevent
crimes. With the increasing availability of both fine-grained urban and public
service data, there is a recent surge in fusing such cross-domain information
to facilitate crime prediction. By capturing the information about social
structure, environment, and crime trends, existing machine learning …

arxiv crime lg meta path prediction temporal