Reconstructing networks with unknown and heterogeneous errors

9 June 2018

Papers citing "Reconstructing networks with unknown and heterogeneous errors"

21 / 21 papers shown

Title
Symmetry-driven embedding of networks in hyperbolic space Simon Lizotte Jean-Gabriel Young Antoine Allard 32 1 0 15 Jun 2024
Machine learning of network inference enhancement from noisy measurements K. Wu Yuan Li Qingbin Liu 28 0 0 05 Sep 2023
Fitting Low-rank Models on Egocentrically Sampled Partial Networks G. Chan Tianxi Li EgoV 18 1 0 09 Mar 2023
Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior Vincenzo Perri Luka V. Petrović Ingo Scholtes 25 0 0 27 Oct 2022
Implicit models, latent compression, intrinsic biases, and cheap lunches in community detection Tiago P. Peixoto Alec Kirkley 30 12 0 17 Oct 2022
Cognitive modelling with multilayer networks: Insights, advancements and future challenges Massimo Stella Salvatore Citraro Giulio Rossetti Daniele Marinazzo Yoed N. Kenett M. Vitevitch 6 1 0 02 Oct 2022
Descriptive vs. inferential community detection in networks: pitfalls, myths, and half-truths Tiago P. Peixoto 27 44 0 30 Nov 2021
Disentangling homophily, community structure and triadic closure in networks Tiago P. Peixoto 25 36 0 07 Jan 2021
Machine Learning Link Inference of Noisy Delay-coupled Networks with Opto-Electronic Experimental Tests A. Banerjee Joseph D. Hart R. Roy Edward Ott 19 24 0 29 Oct 2020
Analysis of English free association network reveals mechanisms of efficient solution of Remote Association Tests O. Valba A. Gorsky S. Nechaev M. Tamm 18 15 0 27 Aug 2020
Atomic subgraphs and the statistical mechanics of networks Anatol E. Wegner S. Olhede 17 9 0 24 Aug 2020
Hypergraph reconstruction from network data Jean-Gabriel Young G. Petri Tiago P. Peixoto 6 102 0 11 Aug 2020
Merge-split Markov chain Monte Carlo for community detection Tiago P. Peixoto 13 33 0 16 Mar 2020
Latent Poisson models for networks with heterogeneous density Tiago P. Peixoto 27 10 0 18 Feb 2020
Community Detection in Bipartite Networks with Stochastic Blockmodels Tzu-Chi Yen D. Larremore 34 26 0 22 Jan 2020
Understanding the Limitations of Network Online Learning Timothy LaRock Timothy Sakharov Sahely Bhadra Tina Eliassi-Rad 14 5 0 09 Jan 2020
Reconstructing commuters network using machine learning and urban indicators Gabriel Spadon A. Carvalho Jose F. Rodrigues-Jr L. G. Alves HAI 20 65 0 09 Aug 2019
Network reconstruction and community detection from dynamics Tiago P. Peixoto 22 116 0 26 Mar 2019
A Review of Stochastic Block Models and Extensions for Graph Clustering Clement Lee D. Wilkinson 31 198 0 01 Mar 2019
Link prediction for egocentrically sampled networks Yun-Jhong Wu Elizaveta Levina Ji Zhu EgoV 21 14 0 12 Mar 2018
Parsimonious module inference in large networks Tiago P. Peixoto MoE 57 201 0 19 Dec 2012