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Toward transparent groundwater contamination risk forecasting: Integrating causal discovery and Bayesian graph neural networks

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Groundwater contamination poses severe risks to ecosystems, agriculture, and public health. However, predictive modeling is limited by the complexity of environmental systems and the opacity of conventional machine learning models. This study introduces the En... ...