weighted sampled graphs converge to the graphon in probability

[[concept]]

Theorem

Let ${G_{n}}$ be a sequence of weighted graphs sampled from graphon $W$ . With probability at least $1 - \exp (- \frac{n}{2 \log n})$ ,

δ_{◻} (G_{n}, W) \leq \frac{20}{\sqrt{\log n}}

Where $δ_{◻}$ is the cut metric. ie, $G_{n} \to W$ in probability.

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2025-03-26 lecture 15

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