Аңдатпа
Large-scale urban flow prediction needs models capturing local diffusion and heterogeneous attraction. Existing GNNs rely on neighborhood aggregation, causing over-smoothing and weak functional modeling. DBHGNN decouples propagation into Laplacian diffusion and POI-derived potential modulation, improving OD flow prediction across four U.S. cities with lower training cost.