679 citations · 1.2k across the 17 of their papers we have counts for
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stat.ML2016★ 6 cited
Bayesian Model Selection of Stochastic Block Models
Xiaoran Yan
A central problem in analyzing networks is partitioning them into modules or communities. One of the best tools for this is the stochastic block model, which clusters vertices into…
stat.ML2010★ 4 cited
Active Learning for Hidden Attributes in Networks
Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier +1
In many networks, vertices have hidden attributes, or types, that are correlated with the networks topology. If the topology is known but these attributes are not, and if learning…