These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
141 related articles for article (PubMed ID: 26167197)
1. Model selection for degree-corrected block models. Yan X; Shalizi C; Jensen JE; Krzakala F; Moore C; Zdeborová L; Zhang P; Zhu Y J Stat Mech; 2014 May; 2014(5):. PubMed ID: 26167197 [TBL] [Abstract][Full Text] [Related]
2. Infinite-degree-corrected stochastic block model. Herlau T; Schmidt MN; Mørup M Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Sep; 90(3):032819. PubMed ID: 25314493 [TBL] [Abstract][Full Text] [Related]
3. A linear programming approach for estimating the structure of a sparse linear genetic network from transcript profiling data. Bhadra S; Bhattacharyya C; Chandra NR; Mian IS Algorithms Mol Biol; 2009 Feb; 4():5. PubMed ID: 19239685 [TBL] [Abstract][Full Text] [Related]
4. Degree-corrected distribution-free model for community detection in weighted networks. Qing H Sci Rep; 2022 Sep; 12(1):15153. PubMed ID: 36071097 [TBL] [Abstract][Full Text] [Related]
5. A Regularized Stochastic Block Model for the robust community detection in complex networks. Lu X; Szymanski BK Sci Rep; 2019 Sep; 9(1):13247. PubMed ID: 31519944 [TBL] [Abstract][Full Text] [Related]
6. Combining a popularity-productivity stochastic block model with a discriminative-content model for general structure detection. Chai BF; Yu J; Jia CY; Yang TB; Jiang YW Phys Rev E Stat Nonlin Soft Matter Phys; 2013 Jul; 88(1):012807. PubMed ID: 23944518 [TBL] [Abstract][Full Text] [Related]
7. Entropy of stochastic blockmodel ensembles. Peixoto TP Phys Rev E Stat Nonlin Soft Matter Phys; 2012 May; 85(5 Pt 2):056122. PubMed ID: 23004836 [TBL] [Abstract][Full Text] [Related]
8. Spectral redemption in clustering sparse networks. Krzakala F; Moore C; Mossel E; Neeman J; Sly A; Zdeborová L; Zhang P Proc Natl Acad Sci U S A; 2013 Dec; 110(52):20935-40. PubMed ID: 24277835 [TBL] [Abstract][Full Text] [Related]
9. Tensor Network Message Passing. Wang Y; Zhang YE; Pan F; Zhang P Phys Rev Lett; 2024 Mar; 132(11):117401. PubMed ID: 38563954 [TBL] [Abstract][Full Text] [Related]
11. Stochastic block models: A comparison of variants and inference methods. Funke T; Becker T PLoS One; 2019; 14(4):e0215296. PubMed ID: 31013290 [TBL] [Abstract][Full Text] [Related]
12. The Fitness-Corrected Block Model, or how to create maximum-entropy data-driven spatial social networks. Bernaschi M; Celestini A; Guarino S; Mastrostefano E; Saracco F Sci Rep; 2022 Oct; 12(1):18206. PubMed ID: 36307499 [TBL] [Abstract][Full Text] [Related]
13. An empirical Bayes approach to stochastic blockmodels and graphons: shrinkage estimation and model selection. Peng Z; Zhou Q PeerJ Comput Sci; 2022; 8():e1006. PubMed ID: 35875655 [TBL] [Abstract][Full Text] [Related]
14. GraphCrunch 2: Software tool for network modeling, alignment and clustering. Kuchaiev O; Stevanović A; Hayes W; Pržulj N BMC Bioinformatics; 2011 Jan; 12():24. PubMed ID: 21244715 [TBL] [Abstract][Full Text] [Related]
15. Scalable detection of statistically significant communities and hierarchies, using message passing for modularity. Zhang P; Moore C Proc Natl Acad Sci U S A; 2014 Dec; 111(51):18144-9. PubMed ID: 25489096 [TBL] [Abstract][Full Text] [Related]
16. Typology of phase transitions in Bayesian inference problems. Ricci-Tersenghi F; Semerjian G; Zdeborová L Phys Rev E; 2019 Apr; 99(4-1):042109. PubMed ID: 31108676 [TBL] [Abstract][Full Text] [Related]