Low-Rank Graphon Learning for Networks

Xinyuan Fan, Feiyan Ma, Chenlei Leng +1

Graphons offer a powerful framework for modeling large-scale networks, yet estimation remains challenging. We propose a novel approach that leverages a low-rank additive representa…