Abstract: Graphs-based neural networks are powerful tools for analyzing intricate non-euclidean data structures to solve complex real-world problems bounded by latency and throughput constraints.

Dua Rashid has been working as a consumer tech journalist since 2020. She's worked for a bunch of tech publications, including Gizmodo, IGN, PCMag, BuySide from WSJ, Digital Trends, and TechRadar, ...

An electric vehicle plugged into a fast charger in Rutland on Feb. 17, 2022. File photo by Glenn Russell/VTDigger To celebrate Earth Day, two nonprofits have announced the launch of a Vermont-specific ...

2. A constant slope implies constant velocity, and thus no acceleration. 3. A changing slope indicates that velocity is changing, signaling acceleration. To find acceleration from a graph, calculate ...

In physics, displacement is a key concept that allows us to measure an object’s overall change in position. One way to determine such displacement is by analyzing a velocity-time graph. In this ...

Amid the pandemic, once normal activities are now peppered with questions and concerns. Can kids go back to crowded schools? Is it safe to eat dinner with friends? Should we worry about going for a ...

The triangle ain't equilateral. Also, I read the jar drawing as being constant speed, not constant acceleration. Each consecutive falling object is at a constant horizontal distance. At the small ...

The aim of this project is to speed up the process of obtaining low-dimensional layouts for large graphs, especially with GPU acceleration. If the node IDs are consecutive integers starting from 0, ...

Abstract: Image segmentation is one of the most important steps in image processing. The graph cut is an effective method for the image segmentation. For calculating the graph cut, the max-flow ...

Scientists have created a graph based on a new formula which estimates a dog's age in "human years." They say their work published in the journal Cell Systems debunks the commonly held belief that ...