Reference:Reference-035157
From CSDMS
Publication information
| Author(s) | Garzón, Alexander; Kapelan, Zoran; Langeveld, Jeroen; Taormina, Riccardo; |
| BibType | journalArticle |
| Title | Transferable and data efficient metamodeling of storm water system nodal depths using auto-regressive graph neural networks |
| Year | 2024-11 |
| Journal | Water Research |
| Volume | 266 |
| Pages | 122396 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0043135424012958 |
| DOI | 10.1016/j.watres.2024.122396 |
| Note | Auto downloaded ref at: 2026-06-11 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
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hybrid | cc-by | publishedVersion | 2026-08-31 |
Download locations
| URL | Host | License | Version | |
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| link | publisher | cc-by | publishedVersion |
Additional information
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| Feature reference | No | |
| Semantic_ID | 36000e90693a3313ecf56b56cc1e53e68723bc6c | |
| Nr of citations | 18 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
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| Model(s) discussed: | SWMM
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