Graphs are widely used to represent complex relationships in everyday applications such as social networks, bioinformatics, and recommendation ...
In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...
Abstract: Graph signal processing (GSP) was designed in [1] (see also [2], [3]), as a natural, intuitive extension of traditional discrete signal processing (DSP). Concepts such as shifting, filtering ...
Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to ...
Four Illinois members of Congress have been allowed into a suburban Chicago immigration processing center that’s been at the ...
ABSTRACT: Let G=( V,E ) be a graph. The first Zagreb index of a graph G is defined as ∑ u∈V d G 2 ( u ) , where d G ( u ) is the degree of vertex u in G . In this paper, we obtain two lower bounds ...
Abstract: Processing-in-Memory (PIM) offers a promising architecture to alleviate the memory wall challenge in graph processing applications. The key aspect of PIM is to incorporate logic within the ...
Covid-19 broke the charts. Decades from now, the pandemic will be visible in the historical data of nearly anything measurable today: an unmistakable spike, dip or jolt that officially began for ...
Charles Hoffman, a trailblazer in the field of accounting, has been at the forefront of technological change since the early days of digital transformation. In a recent conversation, Hoffman shared ...
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