Eya Dridi

Graph Neural Networks for Groundwater Storage Prediction: A Comparative Analysis of Spatio-Temporal Modeling Approaches

Predicting groundwater storage (GWS) is a major challenge due to the inherently spatio-temporal nature of hydrogeological processes. Graph Neural Networks (GNNs), particularly spatio-temporal architectures (ST-GNNs), offer a promising framework for modeling these complex dependencies by jointly capturing the spatial re...