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 ...

In this tutorial, we implement a production-grade, large-scale graph analytics pipeline in NetworKit, focusing on speed, memory efficiency, and version-safe APIs in NetworKit 11.2.1. We generate a ...

Description: 👉 Learn how to write the equation of a polynomial when given rational zeros. Recall that a polynomial is an expression of the form ax^n + bx^(n-1) + . . . + k, where a, b, and k are ...

Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...

Learn how to analyze motion graphs in physics, including position-time and velocity-time graphs. This video explains slopes, areas, and motion behavior to help you clearly interpret real physics ...

Just 17% of Americans now say they trust the government in Washington to do what is right “just about always” (2%) or “most of the time” (15%). While trust in government has been low for decades, the ...

No matter how many times I’ve been told (or written about) the importance of a slow run, I cannot translate it into my training. This is not to say that I am the fastest runner. My goal half marathon ...

There’s that nagging voice again: “Put the phone away. No, really this time.” But we don’t; 84 percent of Americans say that they are online either several times a day or “almost constantly.” “On your ...

STG-DMD (Sparse-Coded Time-Delay Graph Dynamic Mode Decomposition) is a data-driven framework for modeling nonlinear dynamics on graph structures. It integrates: StgDmd/ ├── code/ │ ├── artificial/ │ ...

Our planet whirls around the sun in an ellipse, rather than a circle. On Thursday the planet reached its farthest point from its star, known as aphelion. By Katrina Miller This article was originally ...