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.
Physics-informed graph neural networks for water distribution systems.Proceed- ings of the AAAI Conference on Artificial Intelligence, 38(20):21905–21913, 3
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.