A plot of the rescaled eigenvalue spectrum of horizontal visibility graphs in the Feigenbaum scenario. (Courtesy: J. Phys. A: Math. Theor. 10.1088/1751-8121/ab587f) By means of the so-called ...
Social networks transformed the Internet into a complex web of relationships; social graph analysis offers a way to understand those relationships Social graph models are powerful enablers for ...
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New framework reduces memory usage and boosts energy efficiency for large-scale AI graph analysis
BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at the ...
One of the most basic things students do in a physics lab is to collect data and use that to build a model. Most of these models come in the form of a mathematical function. But here is the problem.
The relentless march of digital technology (and I have to admit I’m getting really tired of saying that) assures that all organizations will adopt AI in some form to stay competitive. The accumulative ...
Databases run the world, but database products are often some of the most mature and venerable software in the modern tech stack. Designers will pixel push, frontend engineers will add clicks to make ...
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