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Learning the embeddings for urban regions from human mobility data can reveal the functionality of regions, and then enables the correlated but distinct tasks such as crime prediction.
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Spatial-temporal sequential hypergraph network for crime prediction with dynamic multiplex relation learning
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J. Du, Y. Zhang, P. Wang, J. Leopold, and Y. Fu · 2019
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Predicting human mobility via graph convolutional dual-attentive networks
Weizhen Dang, Haibo Wang, Shirui Pan, Pei Zhang, Chuan Zhou, Xin Chen, and Jilong Wang · 2022
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