As measles cases continue to climb in the Upstate, an unvaccinated child from North Carolina was likely infected while ...

Accurate smartphone positioning in dense urban environments remains challenging due to signal blockage, multipath effects, and unreliable satellite visibility. This study presents a new positioning ...

Abstract: Graph representation learning is an emerging area for graph analysis and inference. However, existing approaches for large-scale graphs either sample nodes in sequential walks or manipulate ...

The Coast Guard on Monday announced it awarded two contracts covering up to six new Arctic Security Cutter (ASC) icebreakers ...

An experienced Gulfport pilot said a night flight over Lake Pontchartrain to New Orleans is “one of the scariest landings you ...

The posts spread on X, where several meme-style accounts displaying Kalshi affiliate badges shared or amplified the content.

Visual representation of the CardioKG. The image has been tweaked with AI to make it look heart shaped, but it is based on a ...

Understanding how cells decide their fate is a central challenge in biology, complicated by the fact that single-cell RNA ...

An interactive toolbox for standardizing, validating, simulating, reducing, and exploring detailed biophysical models that can be used to reveal how morpho-electric properties map to dendritic and ...

Is your feature request related to a problem? Please describe. The cluster graphical representations in resources page is currently a modal over the resources pages, w/o direct URL to get this modal ...

Abstract: In the field of graph self-supervised learning (GSSL), graph autoencoders and graph contrastive learning are two mainstream methods. Graph autoencoders aim to learn representations by ...