Provides the standard operations for signal processing on graphs: graph Fourier transform, spectral graph wavelet transform, visualization tools. It also implements a data driven method for graph signal denoising/regression, for details see De Loynes, Navarro, Olivier (2019) <arxiv:1906.01882>. The package also provides an interface to the SuiteSparse Matrix Collection, <https://sparse.tamu.edu/>, a large and widely used set of sparse matrix benchmarks collected from a wide range of applications.
|Author||Fabien Navarro [aut, cre], Basile De Loynes [aut], Baptiste Olivier [aut]|
|Maintainer||Fabien Navarro <email@example.com>|
|License||LGPL (>= 2)|
|Package repository||View on CRAN|
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