SWMM GNN metamodel – Code for paper: Transferable and Data Efficient Metamodeling of Storm Water System Nodal Depths Using Auto-Regressive Graph Neural Networks

J.A. Garzón Díaz (Creator)
Z. Kapelan (Creator)
J.G. Langeveld (Creator)
R. Taormina (Creator)

Sanitary Engineering

Dataset

1 results

2024
Transferable and data efficient metamodeling of storm water system nodal depths using auto-regressive graph neural networks
Garzón, A., Kapelan, Z., Langeveld, J. & Taormina, R., 2024, In: Water Research. 266, 14 p., 122396.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
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17 Link opens in a new tab Citations (Scopus)

51 Downloads (Pure)