Abstract: In soft sensor modeling, spatial correlations among variables within industrial processes are often overlooked by conventional data-driven methods, leading to a missed opportunity to enhance ...
Abstract: Deep graph networks (DGNs) are a family of machine learning models for structured data which are finding heavy application in life sciences (drug repurposing, molecular property predictions) ...