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Ada-GCNLSTM:An adaptive urban crime spatiotemporal prediction model

Miaoxuan Shan Chunlin Ye Peng Chen Shufan Peng

安全科学与韧性（英文）Issue(2)：226-236,11.

安全科学与韧性（英文）Issue(2)：226-236,11.DOI:10.1016/j.jnlssr.2024.11.003

Ada-GCNLSTM:An adaptive urban crime spatiotemporal prediction model

Miaoxuan Shan ¹Chunlin Ye ²Peng Chen ¹Shufan Peng¹

作者信息

1. School of information network security,People's Public Security University of China,Beijing,100038,China
2. School of Artificial Intelligence and Automation,Hohai University,Nanjing,211100,China
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摘要

关键词

Spatiotemporal prediction/Crime prediction/Graph convolutional networks/Deep learning

Key words

Spatiotemporal prediction/Crime prediction/Graph convolutional networks/Deep learning

引用本文复制引用

Miaoxuan Shan,Chunlin Ye,Peng Chen,Shufan Peng..Ada-GCNLSTM:An adaptive urban crime spatiotemporal prediction model[J].安全科学与韧性（英文）,2025,(2):226-236,11.

基金项目

This work was partially supported by the Top-Notch Innovative Talent Cultivation Project at the People's Public Security University of China(2022yjsky012)and the Fundamental Research Business Funding Project of the People's Public Security University of China(2024JKF04). （2022yjsky012）

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