Semisupervised Community Detection via Quasi-Stationary Distributions

Explore a 26-minute conference talk by Michael Nisenzon from UNC Chapel Hill on "Semisupervised Community Detection via Quasi-Stationary Distributions" presented at the International Conference on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms (AofA 2025). Delivered at the Fields Institute on May 8, 2025, this presentation examines innovative approaches to community detection in networks using quasi-stationary distributions, combining probabilistic methods with algorithmic analysis to address semi-supervised learning challenges in graph-based data structures.