@misc{https://doi.org/10.4121/989a0d3d-3b4d-47c7-8677-31c5975f9dec.v1,
  doi = {10.4121/989a0d3d-3b4d-47c7-8677-31c5975f9dec.v1},
  url = {},
  author = {Garzón, Alexander and Kapelan, Zoran  and Langeveld, Jeroen and Taormina, Riccardo},
  keywords = {Urban drainage systems, SWMM, GNN, Graph neural networks, Machine learning, Time series, Metamodel, Surrogate model},
  title = {SWMM GNN metamodel – Code for paper: Transferable and Data Efficient Metamodeling of Storm Water System Nodal Depths Using Auto-Regressive Graph Neural Networks},
  publisher = {4TU.ResearchData},
  year = {2024},
  copyright = {MIT},
}