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stat.ME2026
Exchangeable random permutations with an application to Bayesian graph matching
Francesco Gaffi, Nathaniel Josephs, Lizhen Lin
We introduce a general Bayesian framework for graph matching grounded in a new theory of exchangeable random permutations. Leveraging the cycle representation of permutations and t…
stat.ME2024
Partially exchangeable stochastic block models for (node-colored) multilayer networks
Daniele Durante, Francesco Gaffi, Antonio Lijoi +1
Multilayer networks generalize single-layered connectivity data in several directions. These generalizations include, among others, settings where multiple types of edges are obser…