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Semi-supervised Community Detection via Structural Similarity Metrics
Motivated by social network analysis and network-based recommendation systems, we study a semi-supervised community detection problem in which the objective is to estimate the community label of a new node using the network topology and partially observed community labels of existing nodes.
Sharp Impossibility Results for Hyper-graph Testing
In a broad Degree-Corrected Mixed-Membership (DCMM) setting, we test whether a non-uniform hypergraph has only one community or has multiple communities.
A Comparison of Variable Selection Methods for Blockwise Diagonal Designs
Lasso is a celebrated method for variable selection in linear models, but it faces challenges when the covariates are moderately or strongly correlated.
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