Abstract: Graph neural networks (GNNs) have become the prevailing methodology for addressing graph data-related tasks, permeating critical domains like recommendation systems and drug development. The ...
Andrew Bloomenthal has 20+ years of editorial experience as a financial journalist and as a financial services marketing writer. Samantha (Sam) Silberstein, CFP®, CSLP®, EA, is an experienced ...
Abstract: The normal inverse Gaussian (NIG) distribution is a recent variance-mean mixture of a Gaussian with an inverse Gaussian distribution. The NIG can serve as a model for data that are ...
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