Cross-sectional imaging is an essential component of the diagnostic work-up in patients with suspected or diagnosed prostate cancer (PCa). Commonly used tools like MRI, CT, and prostate-specific ...

Collective Inference (CI) is a procedure designed to boost weak relational classifiers, specially for node classification tasks. Graph Neural Networks (GNNs) are strong classifiers that have been used ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...

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Abstract: Node classification is a crucial task in many applications, where the objective is to accurately classify nodes based on their features. Unlike traditional machine learning methods, which ...

The intersection of computational physics and machine learning has brought significant progress in understanding complex systems, particularly through neural networks. Graph neural networks (GNNs) ...