activity
20162019
most citedHigher-Order Spectral Clustering under Superimposed Stochastic Block Model

7 citations · 7 across the 1 of their papers we have counts for

collaborators

5 papers

stat.AP2019

Joint Latent Space Model for Social Networks with Multivariate Attributes

Selena Shuo Wang, Subhadeep Paul, Paul De Boeck

In many application problems in social, behavioral, and economic sciences, researchers often have data on a social network among a group of individuals along with high dimensional…

cs.SI2019

CHIP: A Hawkes Process Model for Continuous-time Networks with Scalable and Consistent Estimation

Makan Arastuie, Subhadeep Paul, Kevin S. Xu

In many application settings involving networks, such as messages between users of an on-line social network or transactions between traders in financial markets, the observed data…

stat.ML20187 cited

Higher-Order Spectral Clustering under Superimposed Stochastic Block Model

Subhadeep Paul, Olgica Milenkovic, Yuguo Chen

Higher-order motif structures and multi-vertex interactions are becoming increasingly important in studies that aim to improve our understanding of functionalities and evolution pa…

stat.AP2018

A random effects stochastic block model for joint community detection in multiple networks with applications to neuroimaging

Subhadeep Paul, Yuguo Chen

Motivated by multi-subject experiments in neuroimaging studies, we develop a modeling framework for joint community detection in a group of related networks, which can be considere…

stat.ML2016

Orthogonal symmetric non-negative matrix factorization under the stochastic block model

Subhadeep Paul, Yuguo Chen

We present a method based on the orthogonal symmetric non-negative matrix tri-factorization of the normalized Laplacian matrix for community detection in complex networks. While th…