paper 'Locally Refined Graph Neural Network for Efficient and Accurate Surrogate Groundwater Modeling in Irregular Grids' data and codes
Abstract
The codes and data used to produce the results discussed in this study are at the website.
Fields of Study & Subjects
Groundwater flow and contamination studies
Model Reduction and Neural Networks
Hydrological Forecasting Using AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 January 2026
- Document type
- Dataset