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.
Exploring a spatiotemporal hetero graph-based long short-term mem- ory model for multi-step-ahead flood forecasting.Journal of Hydrology, 633:130937
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.