HydroGraphNet boosts watershed predictions of daily flow and nitrogen in sparse data regions
Spatially distributed prediction of streamflow and nitrogen (N) export dynamics is essential for precision management of agricultural watersheds. While temporal deep learning models have shown strong basin-scale performance, their ability to generalize spatially is limited,




























