Exact Blind Community Detection From Signals on Multiple Graphs
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Santiago Segarra | T. Mitchell Roddenberry | Hoi-To Wai | Michael T. Schaub | Hoi-To Wai | Santiago Segarra | T. Roddenberry | M. T. Schaub
[1] Antonio Ortega,et al. Graph Learning From Data Under Laplacian and Structural Constraints , 2016, IEEE Journal of Selected Topics in Signal Processing.
[2] Mark E. J. Newman,et al. An efficient and principled method for detecting communities in networks , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.
[3] Gonzalo Mateos,et al. Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks , 2014, IEEE Journal of Selected Topics in Signal Processing.
[4] Elchanan Mossel,et al. Reconstruction and estimation in the planted partition model , 2012, Probability Theory and Related Fields.
[5] Santiago Segarra,et al. Connecting the Dots: Identifying Network Structure via Graph Signal Processing , 2018, IEEE Signal Processing Magazine.
[6] Pascal Frossard,et al. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains , 2012, IEEE Signal Processing Magazine.
[7] N. Meinshausen,et al. High-dimensional graphs and variable selection with the Lasso , 2006, math/0608017.
[8] Chandler Davis. The rotation of eigenvectors by a perturbation , 1963 .
[9] Georgios B. Giannakis,et al. Inference of Gene Regulatory Networks with Sparse Structural Equation Models Exploiting Genetic Perturbations , 2013, PLoS Comput. Biol..
[10] Vassilis Kalofolias,et al. How to Learn a Graph from Smooth Signals , 2016, AISTATS.
[11] John N. Tsitsiklis,et al. Blind identification of stochastic block models from dynamical observations , 2019, SIAM J. Math. Data Sci..
[12] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[13] F. Bunea,et al. On the sample covariance matrix estimator of reduced effective rank population matrices, with applications to fPCA , 2012, 1212.5321.
[14] Santiago Segarra,et al. Network Topology Inference from Spectral Templates , 2016, IEEE Transactions on Signal and Information Processing over Networks.
[15] M E J Newman,et al. Modularity and community structure in networks. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[16] Bin Yu,et al. Spectral clustering and the high-dimensional stochastic blockmodel , 2010, 1007.1684.
[17] Shahin Shahrampour,et al. Reconstruction of directed networks from consensus dynamics , 2013, 2013 American Control Conference.
[18] S. Strogatz. Exploring complex networks , 2001, Nature.
[19] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[20] Christos Boutsidis,et al. Spectral Clustering via the Power Method - Provably , 2013, ICML.
[21] Emmanuel Abbe,et al. Community detection and stochastic block models: recent developments , 2017, Found. Trends Commun. Inf. Theory.
[22] Ronald L. Rivest,et al. Introduction to Algorithms , 1990 .
[23] Nick S. Jones,et al. Community detection in networks with unobserved edges , 2018, ArXiv.
[24] Hoi-To Wai,et al. Estimating Centrality Blindly From Low-Pass Filtered Graph Signals , 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[25] Anna Scaglione,et al. Estimating Social Opinion Dynamics Models From Voting Records , 2018, IEEE Transactions on Signal Processing.
[26] Amit Kumar,et al. A simple linear time ( 1+ ε)- approximation algorithm for geometric k-means clustering in any dimensions , 2004 .
[27] Joshua B. Tenenbaum,et al. Discovering Structure by Learning Sparse Graphs , 2010 .
[28] Santiago Segarra,et al. Network inference from consensus dynamics , 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).
[29] O. Sporns. Discovering the Human Connectome , 2012 .
[30] Georgios B. Giannakis,et al. Kernel-Based Structural Equation Models for Topology Identification of Directed Networks , 2016, IEEE Transactions on Signal Processing.
[31] Kathryn B. Laskey,et al. Stochastic blockmodels: First steps , 1983 .
[32] W. Kahan,et al. The Rotation of Eigenvectors by a Perturbation. III , 1970 .
[33] Santiago Segarra,et al. Network Inference From Consensus Dynamics With Unknown Parameters , 2019, IEEE Transactions on Signal and Information Processing over Networks.
[34] Santiago Segarra,et al. Blind Community Detection From Low-Rank Excitations of a Graph Filter , 2018, IEEE Transactions on Signal Processing.
[35] Pascal Frossard,et al. Learning Laplacian Matrix in Smooth Graph Signal Representations , 2014, IEEE Transactions on Signal Processing.
[36] Santiago Segarra,et al. Optimal Graph-Filter Design and Applications to Distributed Linear Network Operators , 2017, IEEE Transactions on Signal Processing.
[37] E A Leicht,et al. Mixture models and exploratory analysis in networks , 2006, Proceedings of the National Academy of Sciences.
[38] P. Bickel,et al. Covariance regularization by thresholding , 2009, 0901.3079.
[39] R. Tibshirani,et al. Sparse inverse covariance estimation with the graphical lasso. , 2008, Biostatistics.
[40] Santiago Segarra,et al. Blind Inference of Centrality Rankings from Graph Signals , 2019, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[41] Roman Vershynin,et al. Introduction to the non-asymptotic analysis of random matrices , 2010, Compressed Sensing.
[42] Alejandro Ribeiro,et al. A Graph Signal Processing Perspective on Functional Brain Imaging , 2018, Proceedings of the IEEE.
[43] Santiago Segarra,et al. Spectral Partitioning of Time-varying Networks with Unobserved Edges , 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[44] Ronald L. Rivest,et al. Introduction to Algorithms, 3rd Edition , 2009 .
[45] Santiago Segarra,et al. Blind Identification of Graph Filters , 2016, IEEE Transactions on Signal Processing.
[46] Reza Olfati-Saber,et al. Consensus and Cooperation in Networked Multi-Agent Systems , 2007, Proceedings of the IEEE.
[47] Amit Kumar,et al. A simple linear time (1 + /spl epsiv/)-approximation algorithm for k-means clustering in any dimensions , 2004, 45th Annual IEEE Symposium on Foundations of Computer Science.
[48] Rajeev Motwani,et al. The PageRank Citation Ranking : Bringing Order to the Web , 1999, WWW 1999.
[49] Anna Scaglione,et al. Active Sensing of Social Networks , 2016, IEEE Transactions on Signal and Information Processing over Networks.
[50] S. Shen-Orr,et al. Network motifs: simple building blocks of complex networks. , 2002, Science.
[51] Santo Fortunato,et al. Community detection in networks: A user guide , 2016, ArXiv.
[52] M E J Newman,et al. Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.
[53] Mason A. Porter,et al. Random walks and diffusion on networks , 2016, ArXiv.
[54] Mark E. J. Newman,et al. Stochastic blockmodels and community structure in networks , 2010, Physical review. E, Statistical, nonlinear, and soft matter physics.
[55] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[56] Thomas Kailath,et al. Detection of signals by information theoretic criteria , 1985, IEEE Trans. Acoust. Speech Signal Process..
[57] Mark Newman,et al. Networks: An Introduction , 2010 .