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Found 2 papers, 1 papers with code
Learning Linear Polytree Structural Equation Models
We are interested in the problem of learning the directed acyclic graph (DAG) when data are generated from a linear structural equation model (SEM) and the causal structure can be characterized by a polytree.
Consistency of Spectral Clustering on Hierarchical Stochastic Block Models
We study the hierarchy of communities in real-world networks under a generic stochastic block model, in which the connection probabilities are structured in a binary tree.
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