Graph limit theory provides a rigorous framework for analysing sequences of large graphs by representing them as continuous objects known as graphons – symmetric measurable functions on the unit ...

We study the uniform random graph Cn with n vertices drawn from a subcriticai class of connected graphs. Our main result is that the rescaled graph On ${C_n}/\sqrt n $ converges to the Brownian ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Graph databases and models have been around for well over a ...

We consider a stochastic SIR (susceptible → infective → recovered) epidemic defined on a configuration model random graph, in which infective individuals can infect only their neighbours in the graph ...

NEW YORK, Nov. 09, 2021 (GLOBE NEWSWIRE) -- Lucata, provider of a next generation server platform for accelerating and scaling graph analytics, AI and machine learning (ML), today announced it has ...