When Correlations Mislead: Confounder-Aware Multi-View Urban Region Representation Learning
Urban region representation learning commonly combines heterogeneous data sources, such as mobility flows, points of interest, and land-use information, to support tasks including mobility analysis, public safety forecasting, and service demand estimation. Existing multi-view methods typically improve region embeddings...
Sean Bin Yang, Ying Sun, Zong-Yi Xu et al.
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