Structure and inference in annotated networks

14 July 2015

Papers citing "Structure and inference in annotated networks"

50 / 57 papers shown

Title
How do Probabilistic Graphical Models and Graph Neural Networks Look at Network Data? Michela Lapenna Caterina De Bacco 82 0 0 13 Jun 2025
Robust Markov stability for community detection at a scale learned based on the structure Samin Aref Sanchaai Mathiyarasan 62 1 0 15 Apr 2025
Changepoint Detection in Highly-Attributed Dynamic Graphs Emiliano Penaloza Nathaniel Stevens 41 0 0 09 Jul 2024
Flexible inference in heterogeneous and attributed multilayer networks Martina Contisciani Marius Hobbhahn Eleanor A. Power Philipp Hennig Caterina De Bacco 91 2 0 31 May 2024
Exact Recovery and Bregman Hard Clustering of Node-Attributed Stochastic Block Model Maximilien Dreveton F. S. Fernandes D. R. Figueiredo 73 7 0 30 Oct 2023
Nested stochastic block model for simultaneously clustering networks and nodes Nathaniel Josephs Arash A. Amini M. Paez Lizhen Lin 71 4 0 18 Jul 2023
A network community detection method with integration of data from multiple layers and node attributes H. Reittu Lasse Leskelä Tomi D. Räty 67 2 0 22 May 2023
Laplacian Change Point Detection for Single and Multi-view Dynamic Graphs Shenyang Huang Samy Coulombe Yasmeen Hitti Reihaneh Rabbany Guillaume Rabusseau 57 10 0 02 Feb 2023
Perfect Spectral Clustering with Discrete Covariates J. Hehir Xiaoyue Niu Aleksandra B. Slavkovic 82 0 0 17 May 2022
Inference of hyperedges and overlapping communities in hypergraphs Martina Contisciani F. Battiston Caterina De Bacco 77 71 0 12 Apr 2022
Bayesian community detection for networks with covariates Luyi W. Shen Arash A. Amini Nathaniel Josephs Lizhen Lin 61 6 0 04 Mar 2022
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths Tiago P. Peixoto 122 47 0 30 Nov 2021
Extending Bootstrap AMG for Clustering of Attributed Graphs P. DÁmbra P. Vassilevski Luisa Cutillo 123 1 0 20 Sep 2021
Multilayer Networks for Text Analysis with Multiple Data Types Charles C. Hyland Yuanming Tao Lamiae Azizi Martin Gerlach Tiago P. Peixoto E. Altmann 47 15 0 30 Jun 2021
Node metadata can produce predictability transitions in network inference problems Oscar Fajardo-Fontiveros Marta Sales-Pardo Roger Guimerà 74 4 0 26 Mar 2021
Contextual Stochastic Block Model: Sharp Thresholds and Contiguity Chen Lu S. Sen 59 22 0 15 Nov 2020
Extended Stochastic Block Models with Application to Criminal Networks Sirio Legramanti T. Rigon Daniele Durante David B. Dunson 68 22 0 16 Jul 2020
Graph Clustering with Graph Neural Networks Anton Tsitsulin John Palowitch Bryan Perozzi Emmanuel Müller GNN AI4CE 121 270 0 30 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 150 139 0 18 Jun 2020
On a scalable entropic breaching of the overfitting barrier in machine learning I. Horenko 51 1 0 08 Feb 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels Tzu-Chi Yen D. Larremore 86 27 0 22 Jan 2020
Community detection in node-attributed social networks: a survey Petr Chunaev 83 238 0 20 Dec 2019
Mutual Information in Community Detection with Covariate Information and Correlated Networks Vaishakhi Mayya Galen Reeves 68 22 0 11 Dec 2019
Equipping SBMs with RBMs: An Explainable Approach for Analysis of Networks with Covariates Shubham Gupta Gururaj K. Ambedkar Dukkipati Rui M. Castro 20 1 0 11 Nov 2019
MONET: Debiasing Graph Embeddings via the Metadata-Orthogonal Training Unit John Palowitch Bryan Perozzi 76 20 0 25 Sep 2019
Testing for Association in Multi-View Network Data Lucy L. Gao Daniela Witten Jacob Bien 57 8 0 25 Sep 2019
Community Detection and Improved Detectability in Multiplex Networks Yuming Huang Ashkan Panahi Hamid Krim Liyi Dai 60 13 0 23 Sep 2019
A Map Equation with Metadata: Varying the Role of Attributes in Community Detection Scott Emmons P. Mucha 43 21 0 24 Oct 2018
A Survey on Theoretical Advances of Community Detection in Networks Yunpeng Zhao 61 43 0 26 Aug 2018
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 166 159 0 23 Jul 2018
Pairwise Covariates-adjusted Block Model for Community Detection Sihan Huang Jiajin Sun Yang Feng 67 25 0 10 Jul 2018
Universality of the stochastic block model Jean-Gabriel Young G. St‐Onge P. Desrosiers Louis J. Dubé 73 31 0 11 Jun 2018
Reconstructing networks with unknown and heterogeneous errors Tiago P. Peixoto 62 81 0 09 Jun 2018
Stochastic Block Models are a Discrete Surface Tension Z. Boyd M. A. Porter Andrea L. Bertozzi 64 6 0 07 Jun 2018
Prioritizing network communities Marinka Zitnik R. Sosič J. Leskovec 49 71 0 07 May 2018
Stochastic Block Models with Multiple Continuous Attributes Natalie Stanley T. Bonacci Roland Kwitt Marc Niethammer P. Mucha 54 64 0 07 Mar 2018
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data M. Byshkin A. Stivala Antonietta Mira G. Robins Alessandro Lomi 39 28 0 28 Feb 2018
Community Detection through Likelihood Optimization: In Search of a Sound Model L. Ostroumova Alexey Tikhonov 68 28 0 13 Feb 2018
On consistent vertex nomination schemes V. Lyzinski Keith D. Levin Carey E. Priebe 86 17 0 15 Nov 2017
Algorithmic detectability threshold of the stochastic block model T. Kawamoto 57 17 0 24 Oct 2017
Two provably consistent divide and conquer clustering algorithms for large networks Soumendu Sundar Mukherjee Purnamrita Sarkar Peter J. Bickel 95 14 0 18 Aug 2017
A network approach to topic models Martin Gerlach Tiago P. Peixoto E. Altmann BDL 93 217 0 04 Aug 2017
Bayesian stochastic blockmodeling Tiago P. Peixoto 186 203 0 29 May 2017
Matched bipartite block model with covariates Zahra S. Razaee Arash A. Amini Jingyi Jessica Li 84 23 0 15 Mar 2017
Network cross-validation by edge sampling Tianxi Li Elizaveta Levina Ji Zhu 108 166 0 14 Dec 2016
Community detection with nodal information Haolei Weng Yang Feng 62 32 0 31 Oct 2016
The ground truth about metadata and community detection in networks Leto Peel D. Larremore A. Clauset 116 446 0 20 Aug 2016
Covariate Regularized Community Detection in Sparse Graphs Bowei Yan Purnamrita Sarkar 72 55 0 10 Jul 2016
On the Consistency of the Likelihood Maximization Vertex Nomination Scheme: Bridging the Gap Between Maximum Likelihood Estimation and Graph Matching V. Lyzinski Keith D. Levin D. E. Fishkind Carey E. Priebe 108 19 0 05 Jul 2016
Bayesian Model Selection of Stochastic Block Models Xiaoran Yan 68 35 0 23 May 2016