A new study of climate extremes since 1988 finds that many regions have seen increases in deaths due to floods, storms and ...
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: 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 ...
Abstract: Fault location and classification are crucial to the reliable and resilient operation of power distribution networks (PDNs). Current machine learning works cannot provide accurate and ...
The Sunday People saw year-on-year print circulation decline of more than a quarter for the second month in a row, according to the latest ABC figures. The Reach tabloid was down by 25.2% year on year ...
Official implementation for ICLR'25 paper ''Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs''[arxiv], by Yuhan Chen*, Yihong Luo*, Yifan Song, Pengwen ...
The probability density function of a uniform random variable looks like a horizontal line segment over the support. This indicates that for any interval of a given length within the support, the ...
1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...
1 Institute for Cognitive Neurodynamics, School of Mathematics, East China University of Science and Technology, Shanghai, China 2 Center for Intelligent Computing, School of Mathematics, East China ...
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