arXiv cs.LG
· Papers
Predicting Groundwater Arsenic Concentrations Using Graph Neural Networks
arXiv:2607.19392v1 Announce Type: new Abstract: Arsenic contamination in groundwater presents a longstanding public health crisis in the United States, especially for households depending on private wells. Accurate and spatially informed prediction of arsenic concentration is vital to identify high-risk areas and focus