As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Abstract: Gene-gene association studies are essential for genomic analysis in network medicine. Multi-omics datasets of multiple disease phenotypes are used to construct a disease-gene network or ...

This page assumes you are already familiar with the content of Introduction to visualization; in particular, you should already understand the sequence graph representation used. Right now you may be ...

Since his return to office, President Trump and his family have engaged in a moneymaking campaign like none in modern American history. A headshot of President Trump sits in the center of a network ...

Thirty years ago today, Netscape Communications and Sun Microsystems issued a joint press release announcing JavaScript, an object scripting language designed for creating interactive web applications ...

In this tutorial, we create a fully interactive, visually compelling data visualization dashboard using Bokeh. We start by turning raw data into insightful plots, then enhance them with features such ...

Fifteen years ago, I introduced the zero-trust security model while working as an analyst at Forrester Research. At the time, cybersecurity was still rooted in perimeter-based thinking, built on the ...

Rons Data Streamer is a powerful network monitoring tool for real-time traffic analysis. Capture, visualize. Rons Data Streamer is a sophisticated and user-friendly software application designed for ...

Instant experiences on the web have become more of a requirement than a preference. The performance of React applications depends heavily on JavaScript bundle size ...