The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

10.1137/040616024

10.1137/1.9780898717778.ch1

10.1016/j.acha.2006.03.004

10.1007/11503415_32

10.1016/j.jcss.2007.08.006

10.1201/9781420036053.ch16

10.1109/TSP.2012.2188718

10.1007/978-3-540-73510-6_1

horn, 1990, Matrix Analysis

ting, 0, An analysis of the convergence of graph Laplacians, Proc Int Conf Mach Learn, 1079

10.1109/ICASSP.2012.6288669

10.1109/TSP.2010.2047640

10.1109/CDC.2006.377080

10.1137/S0036141095289051

10.1007/978-3-540-72823-8_12

10.1007/BF01164627

gleich, 0, The MatlabBGL Matlab Library

10.1006/acha.1993.1008

10.1007/s00026-005-0237-z

10.1109/TIP.2008.924284

lee, 0, Multiscale analysis of time series of graphs, Proc Int Conf Sampl Theory Appl

10.1109/ICCV.1999.790410

10.1371/journal.pbio.0060159

10.1145/311535.311577

10.1007/s11222-007-9033-z

10.1090/S0273-0979-06-01126-8

10.1016/j.acha.2006.04.004

cvetkovi?, 2011, Applications of graph spectra: An introduction to the literature, Zbornik Radova, 14, 9

10.1109/ICASSP.2012.6288515

10.1109/ICASSP.2012.6288775

walshaw, 0, The Graph Partitioning Archive

10.1137/0605051

vetterli, 1995, J

10.1109/ICIP.2010.5651072

gavish, 2010, Multiscale wavelets on trees, graphs and high dimensional data: Theory and applications to semi supervised learning, Proc Int Conf Mach Learn, 367

10.1111/j.1467-9868.2008.00672.x

10.1109/ICASSP.2006.1660930

10.1117/12.616931

10.1109/INFCOM.2003.1209207

10.1090/S0002-9947-08-04511-X

peyré, 0, Non-local regularization of inverse problems, Proceedings of ECCV '08, 57

10.1016/j.patcog.2008.05.007

10.1109/DCOSS.2011.5982158

10.1109/SSP.2012.6319643

10.1109/JPROC.2010.2040551

10.1007/978-1-84996-290-2

godsil, 2001, Algebraic Graph Theory, 10.1007/978-1-4613-0163-9

chung, 1997, Spectral Graph Theory, 92

10.1201/b11644-19

taubin, 2000, Geometric signal processing on polygonal meshes, Eurographics State of the Art Report

10.1145/344779.344924

smola, 0, Kernels and regularization on graphs, Proc Ann Conf Learning Theory, 144

10.1145/183422.183423

zhou, 0, A regularization framework for learning from graph data, Proc ICML Workshop Statistical Relational Learning and Its Connections to Other Fields, 132

zhu, 0, Semi-supervised learning using Gaussian fields and harmonic functions, Proc Int Conf Mach Learn, 912

belkin, 2004, Regularization and semi-supervised learning on large graphs, Learn Theory, 624, 10.1007/978-3-540-27819-1_43

zhou, 2005, Regularization on discrete spaces, Pattern Recogn, 3663, 361, 10.1007/11550518_45

narang, 0, Lifting based wavelet transforms on graphs, Proc APSIPA ASC, 441

zhou, 2004, Learning with local and global consistency, Adv Neural Inf Process Syst, 16, 321

10.1109/TPAMI.2006.184

10.1016/j.acha.2006.04.005

10.1002/cpe.4330060203

10.1137/100791142

10.1109/SSP.2012.6319640

10.1016/j.acha.2010.04.005

10.1117/12.616909

10.1073/pnas.0500334102