Robust and computationally feasible community detection in the presence
of arbitrary outlier nodes

Robust and computationally feasible community detection in the presence of arbitrary outlier nodes

23 April 2014

T. Tony Cai

Papers citing "Robust and computationally feasible community detection in the presence of arbitrary outlier nodes"

7 / 7 papers shown

Title
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models Yucheng Liu Xiaodong Li 26 0 0 08 Jun 2024
A Worker-Task Specialization Model for Crowdsourcing: Efficient Inference and Fundamental Limits Doyeon Kim Jeonghwa Lee Hye Won Chung 35 3 0 19 Nov 2021
Robust Estimation for Random Graphs Jayadev Acharya Ayush Jain Gautam Kamath A. Suresh Huanyu Zhang 16 8 0 09 Nov 2021
Convex optimization for the densest subgraph and densest submatrix problems Polina Bombina Brendan P. W. Ames 12 9 0 05 Apr 2019
Improved Graph Clustering Yudong Chen Sujay Sanghavi Huan Xu 78 190 0 11 Oct 2012
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 49 214 0 04 Jul 2012
A survey of statistical network models Anna Goldenberg A. Zheng S. Fienberg E. Airoldi 118 975 0 29 Dec 2009