Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. (arXiv:2204.08587v1 [cs.LG])

Crime has become a major concern in many cities, which calls for the rising
demand for timely predicting citywide crime occurrence. Accurate crime
prediction results are vital for the beforehand decision-making of government
to alleviate the increasing concern about the public safety. While many efforts
have been devoted to proposing various spatial-temporal forecasting techniques
to explore dependence across locations and time periods, most of them follow a
supervised learning manner, which limits their spatial-temporal representation
ability on sparse crime data. …

arxiv crime hypergraph learning prediction self-supervised learning supervised learning temporal