Series, a social networking app that's grown popular on college campuses, announced a $5.1 million pre-seed round from some ...

Graph theory is moving from textbooks to traffic lights, powering smarter transportation networks worldwide. From retail deliveries to freight corridors and urban commuting, it helps planners cut ...

Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.

A change to one labor rule can ripple far beyond a single page of legislation. That is the central message of a new study examining Oman’s Labor Law of 2023, which treats the law less like a list of ...

We propose a framework that combines a complex network approach with visibility graph algorithms. First, a comprehensive financial stress index (FSI) for China is constructed by integrating ...

Abstract: Among recent graph drawing (GD) methods, tsNET creates high quality layouts but suffers from a very high runtime due to its underlying reliance on the t-SNE projection technique. We address ...

Abstract: In this paper, we prove Contra Harmonic Mean Labeling for some star related graphs such as $\mathrm{K}_{1, \mathrm{n}}, S(\mathrm{K}_{1, \mathrm{n ...

When President Trump said in January that a U.S. “armada” was heading to Iran, he compared it with the kind of force used in the military’s recent lightning operation in Venezuela, saying it was “able ...

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

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 ...

The aim of the present study was to investigate the association between resting-state EEG functional connectivity and spatial working memory (SWM) in adolescents, using a graph-theoretical approach.