CSAN: A neural network benchmark model for crime forecasting in spatio-temporal scale
Qi Wang(Washington University in St. Louis), Jincai Huang(National University of Defense Technology), Guangyin Jin(National University of Defense Technology), Yanghe Feng(National University of Defense Technology), Xia Zhao(Shenzhen Children's Hospital)
Cited by 44
Related Papers
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
|ACM Transactions on Knowledge Discovery from Data|2022|499
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
|IEEE Transactions on Knowledge and Data Engineering|2023|425
Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network
|Transportation Research Part C Emerging Technologies|2020|145
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
|IEEE Transactions on Knowledge and Data Engineering|2024|142