Synergistic Fusion of Topological Structure and Temporal Semantics of Mobility for Urban Region Embedding

Urban region embeddings have shown promising results in diverse urban sensing tasks such as crime, income, and service-call prediction. Recent methods improve representation quality by integrating mobility data with auxiliary modalities, using cross-view attention or contrastive objectives to align