Graphon Estimation

Graphon Estimation is a technique that infers the underlying graph generation model from observed graph data. Its goal is to reveal the statistical properties of graph structures by estimating the limit object of graphs—known as a graphon—in the context of graph theory. Graphon Estimation has significant application value in complex network analysis, social network modeling, bioinformatics, and other fields, aiding researchers in gaining a deeper understanding of the generation mechanisms and evolutionary patterns of large-scale graph data.