Troy Segal is an editor and writer. She has 20+ years of experience covering personal finance, wealth management, and business news. Catherine Falls Commercial/Getty Images Linear regression is a type ...

Abstract: In this article, we study node-level graph regression, which aims to predict an output vector for each node on a given graph. This task has a broad range of applications, including ...

We start with a dataset of graphs, based on some structural graph properties - in today's case based on lipophilicity. Accordingly, entire graphs are embedded in such a way that helps us predict a ...

Abstract: In order to construct a high-quality graph to improve the learning accuracy, a new semi-supervised regression algorithm is proposed. According to all labeled and unlabeled samples, multiple ...