Abstract: Permutation entropy (PE) is a widely used metric for quantifying the complexity of time series data. Recent efforts have extended PE to graph signals, resulting in the graph permutation ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

CBSE 9th Assertion Reason Questions: The Central Board of Secondary Education (CBSE) Class 9 exams 2025-26 are around the corner and it's time for students to revise and prepare all the questions. One ...

Apple says the ANC on the AirPods Pro 3 blocks twice as much noise as the AirPods Pro 2 and four times as much as the ...

Abstract: Graphs play an increasingly important role in various big data applications. However, existing graph data structures cannot simultaneously address the performance bottlenecks caused by the ...

As the title suggests, in this first article of two I will look at some handicap data and compare horses in terms of their ...

Roll Tide! No that’s more like it. This graphing column, I’ll admit, is a much more interesting read when we’re breaking down ...

Mathematics Teaching in the Middle School (MTMS) is an official peer-reviewed journal of the National Council of Teachers of Mathematics and is intended as a resource for middle school students, ...

Analyzing the current women's world records revealed that it takes nearly half a century for those standards to catch up to ...

TGM is a research library designed to accelerate training workloads over dynamic graphs and facilitate prototyping of temporal graph learning methods. Our main goal is to provide an efficient ...

Transform your codebase into a powerful, queryable knowledge graph! Code-to-Knowledge-Graph is a Kotlin/JVM toolkit that parses source code and creates rich, queryable knowledge graphs using VS Code's ...