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The study of probability distributions over graphs. For example, the Erdős–Rényi model where each edge occurs independently with equal probability.
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Random graph uniformly sample from the special graphs
We know two basic random graph models:$G(n,p)$ and $G(n,m)$. $G(n,m)$ consists of all graphs with $n$ vertices and $m$ edges, in which the graphs have the same probability. We know that $G(n,p)$ and $ …
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Random graphs constructed by many large matchings
Let $G_{n,d}$ be $d$-regular random graph. We know that for $d \geq 3$, $G \in G_{n,d}$ a.a.s. has a $1$-factorisation when $n$ is even.
So, the resulting graph that obtained from randomly choosing $d …