DUALFloodGNN is a physics-informed GNN that jointly predicts water volume and flow using multi-scale loss terms and curriculum learning for efficient autoregressive flood modeling.
A new graph-based deep learning model to predict flooding with validation on a case study on the humber river.Water, 15(10)
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DUALFloodGNN: Physics-informed Graph Neural Network for Operational Flood Modeling
DUALFloodGNN is a physics-informed GNN that jointly predicts water volume and flow using multi-scale loss terms and curriculum learning for efficient autoregressive flood modeling.