An urban patrol case urgency classification method based on self-supervised clustering of a graph neural network
Accurate assessment of urban patrol cases plays an important role in maintaining urban safety and improving the efficiency of urban governance. The hazard level of urban patrol cases can be reflected by the urgency level and prioritizing high-urgency cases can help reduce potential risks to public safety. However, it r...
Yirui Jiang, Hao Wu, Tiejun Yang et al.
· PLoS ONE · 0 citations