Bayesian stochastic blockmodeling

29 May 2017

Papers citing "Bayesian stochastic blockmodeling"

44 / 44 papers shown

Title
RelDiff: Relational Data Generative Modeling with Graph-Based Diffusion Models Valter Hudovernik Minkai Xu Juntong Shi Lovro Šubelj Stefano Ermon Erik Štrumbelj J. Leskovec DiffM 28 0 0 31 May 2025
Learning when to rank: Estimation of partial rankings from sparse, noisy comparisons Sebastian Morel-Balbi Alec Kirkley CML 109 0 0 05 Jan 2025
Symmetry-driven embedding of networks in hyperbolic space Simon Lizotte Jean-Gabriel Young Antoine Allard 74 1 0 15 Jun 2024
Chronoblox: Chronophotographic Sequential Graph Visualization Quentin Lobbé Camille Roth Lena Mangold 94 0 0 13 May 2024
Network reconstruction via the minimum description length principle Tiago P. Peixoto 95 6 0 02 May 2024
Learning dynamic representations of the functional connectome in neurobiological networks Luciano Dyballa Samuel Lang Alexandra Haslund-Gourley Eviatar Yemini Steven W. Zucker 40 0 0 21 Feb 2024
A Simple Quantum Blockmodeling with Qubits and Permutations Ammar Daskin 56 0 0 13 Nov 2023
A generalized Bayesian stochastic block model for microbiome community detection Kevin C. Lutz Michael L. Neugent Tejasv Bedi N. D. Nisco Qiwei Li 40 2 0 28 Aug 2023
Neural-prior stochastic block model O. Duranthon L. Zdeborová 128 3 0 17 Mar 2023
Bayesian contiguity constrained clustering, spanning trees and dendrograms E. Côme 56 0 0 24 Feb 2023
A Bayesian Nonparametric Stochastic Block Model for Directed Acyclic Graphs Clement D Lee Marco Battiston 73 0 0 18 Jan 2023
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection Tiago P. Peixoto Alec Kirkley 77 13 0 17 Oct 2022
Consistency between ordering and clustering methods for graphs T. Kawamoto Masaki Ochi Teruyoshi Kobayashi 48 3 0 27 Aug 2022
Scholastic: Graphical Human-Al Collaboration for Inductive and Interpretive Text Analysis Matt-Heun Hong Lauren A. Marsh Jessica L. Feuston Joan H Ruppert Jed R. Brubaker D. Szafir 64 28 0 12 Aug 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 91 70 0 04 Apr 2022
Estimating Social Influence from Observational Data Dhanya Sridhar Caterina De Bacco David M. Blei 65 3 0 24 Mar 2022
Consistent Bayesian community recovery in multilayer networks Kalle Alaluusua Lasse Leskelä 49 2 0 11 Feb 2022
Systematic assessment of the quality of fit of the stochastic block model for empirical networks Felipe Vaca-Ramírez Tiago P. Peixoto 69 8 0 05 Jan 2022
An adaptation of InfoMap to absorbing random walks using absorption-scaled graphs Esteban Vargas Bernal M. A. Porter J. Tien 45 0 0 21 Dec 2021
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths Tiago P. Peixoto 90 47 0 30 Nov 2021
Robustness modularity in complex networks F. N. Silva A. Albeshri V. Thayananthan W. Alhalabi S. Fortunato 42 4 0 05 Oct 2021
Partition and Code: learning how to compress graphs Giorgos Bouritsas Andreas Loukas Nikolaos Karalias M. Bronstein 77 13 0 05 Jul 2021
Multilayer Networks for Text Analysis with Multiple Data Types Charles C. Hyland Yuanming Tao Lamiae Azizi Martin Gerlach Tiago P. Peixoto E. Altmann 37 15 0 30 Jun 2021
Semi-Supervised Clustering with Inaccurate Pairwise Annotations Daniel Gribel M. Gendreau Thibaut Vidal 40 7 0 05 Apr 2021
Disentangling homophily, community structure and triadic closure in networks Tiago P. Peixoto 65 37 0 07 Jan 2021
Community detection in networks using graph embeddings Aditya Tandon A. Albeshri V. Thayananthan W. Alhalabi F. Radicchi S. Fortunato GNN 63 37 0 11 Sep 2020
Community recovery in non-binary and temporal stochastic block models Konstantin Avrachenkov Maximilien Dreveton Lasse Leskelä 92 10 0 11 Aug 2020
Statistical inference of assortative community structures Lizhi Zhang Tiago P. Peixoto 55 40 0 25 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 100 7 0 02 Jun 2020
Revealing consensus and dissensus between network partitions Tiago P. Peixoto 64 41 0 28 May 2020
Assortative-Constrained Stochastic Block Models Daniel Gribel Thibaut Vidal M. Gendreau 34 2 0 21 Apr 2020
Merge-split Markov chain Monte Carlo for community detection Tiago P. Peixoto 68 35 0 16 Mar 2020
Latent Poisson models for networks with heterogeneous density Tiago P. Peixoto 70 10 0 18 Feb 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels Tzu-Chi Yen D. Larremore 72 27 0 22 Jan 2020
Role Detection in Bicycle-Sharing Networks Using Multilayer Stochastic Block Models Jane Carlen Jaume de Dios Pont C. Mentus Shyr-Shea Chang Stephanie Wang M. A. Porter 53 6 0 26 Aug 2019
Bayesian estimation of the latent dimension and communities in stochastic blockmodels Francesco Sanna Passino N. Heard BDL 51 25 0 06 Apr 2019
Network reconstruction and community detection from dynamics Tiago P. Peixoto 82 117 0 26 Mar 2019
Bayesian graph convolutional neural networks for semi-supervised classification Yingxue Zhang Soumyasundar Pal Mark Coates Deniz Üstebay GNN BDL 91 229 0 27 Nov 2018
Multivariate Spatiotemporal Hawkes Processes and Network Reconstruction Baichuan Yuan Hao Li Andrea L. Bertozzi P. Brantingham M. A. Porter 54 55 0 15 Nov 2018
Mean-field theory of graph neural networks in graph partitioning T. Kawamoto Masashi Tsubaki T. Obuchi 109 58 0 29 Oct 2018
Universality of the stochastic block model Jean-Gabriel Young G. St‐Onge P. Desrosiers Louis J. Dubé 71 31 0 11 Jun 2018
Stochastic Block Models are a Discrete Surface Tension Z. Boyd M. A. Porter Andrea L. Bertozzi 60 6 0 07 Jun 2018
Evaluating Overfit and Underfit in Models of Network Community Structure Amir Ghasemian Homa Hosseinmardi A. Clauset 84 142 0 28 Feb 2018
Nonparametric weighted stochastic block models Tiago P. Peixoto 52 99 0 04 Aug 2017