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stat.ML2023★ 2 cited
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
Nikolaos Nakis, Abdulkadir Çelikkanat, Louis Boucherie +5
Graph representation learning has become a prominent tool for the characterization and understanding of the structure of networks in general and social networks in particular. Typi…
stat.ML2014★ 1 cited
Adaptive Reconfiguration Moves for Dirichlet Mixtures
Tue Herlau, Morten Mørup, Yee Whye Teh +1
Bayesian mixture models are widely applied for unsupervised learning and exploratory data analysis. Markov chain Monte Carlo based on Gibbs sampling and split-merge moves are widel…