As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

As GenAI usage increases in the corporate world, many executives will likely have to answer this question from their boards: ...

This tutorial provides step-by-step instructions on how to take a standard 1-gang outlet (with two available openings) and expand it to a 2-gang outlet (with four available openings) plus two usb ...

Abstract: Dynamic graphs arise in various real-world applications, and it is often welcomed to model the dynamics in continuous time domain for its flexibility. This paper aims to design an ...

Abstract: The advent of increasingly available patient health data has created opportunities for critical care medicine to embrace modern data-driven decision support. However, existing methods, such ...

Explore OpenCode, a local AI agent that builds PNG charts from datasets, so you understand trends faster and make sharper ...

Background While the incidence of hospital adverse events appeared to be declining before 2019, the COVID-19 pandemic may ...

Federated graph learning advances the field of federated learning by enabling privacy-preserving collaborative training on distributed graph data. Conventional federated graph learning methods excel ...