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Over 70 million people in the U.S. are impacted by hearing loss, and age-related hearing loss is the second most common ...

Stock chart reading for beginners: the five chart elements that actually matter, what they tell you about price and volume, ...

Abstract: Graph embedding aims to represent node structural as well as attribute information into a low-dimensional vector space so that some downstream application tasks such as node classification, ...

Roese's predictions: stronger AI governance, better data management, agentic AI infrastructure, resilient AI factories, and sovereign AI strategies.

Abstract: We propose graph-driven approaches to image segmentation by developing diffusion processes defined on arbitrary graphs. We formulate a solution to the image segmentation problem modeled as ...

Graphs, maps and charts from The Times — and an invitation to students to discuss them live. How much of your household income goes toward health insurance premiums? By The Learning Network What ...

With the growing use of multiple social platforms, aligning user identities across networks, known as Social Network Alignment (SNA), has become ...

Abstract: Coloring for random graph from G(n,1/2) is a classic example exhibiting an Information v. Computation gap: it has chromatic number of Theta(n/log n) w.p. 1-o(1) while the best efficiently ...

Discrete structures are omnipresent in mathematics, computer science, statistical physics, optimisation and models of natural phenomena. For instance, complex random graphs serve as a model for social ...

As mathematical abstractions go, graphs are among the simplest. Scatter a bunch of points in a plane. Connect some of them with lines. That’s all a graph is. And yet they are incredibly powerful. They ...