Abstract: Clustering is a crucial step in single-cell RNA sequencing (scRNA-seq) data analysis, facilitating the discovery of new cell types and the grouping of similar cells. Recently, graph ...

Abstract: A critical aspect of graph neural networks (GNNs) is to enhance the node representations by aggregating node neighborhood information. However, when detecting anomalies, the representations ...

Attacks that target users in their web browsers have seen an unprecedented rise in recent years. In this article, we'll explore what a "browser-based attack" is, and why they're proving to be so ...

Cybersecurity researchers have disclosed details of a new campaign that leverages ConnectWise ScreenConnect, a legitimate Remote Monitoring and Management (RMM) software, to deliver a fleshless loader ...

Nchangwi Syntia Munung is a bioethics researcher in the Division of Human Genetics, University of Cape Town, Cape Town, South Africa. As a group of African bioethics and data-science researchers with ...

Adam Jacobson, the data and baseball brains behind Grand Salami Time, a new website focused on Seattle Mariners analytics. (Photo courtesy of Adam Jacobson) There’s a lot of hope that goes into being ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...