Semi-Supervised Learning with Spectral Graph Wavelets
By David I. Shuman, Mohammad Javad Faraji, Pierre Vandergheynst. 2011
22 citations recorded by the source corpus.
Subfields: Representation & Self-Supervised Learning, Graph Learning
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In Representation & Self-Supervised Learning
Citations in the corpus
- Semi-Supervised Classification with Graph Convolutional Networks (2016, neutral): “ (Zhu et al., 2003), manifold regularization (Belkin et al., 2006) and deep semi-supervised embedding (Weston et al., 2012). These approaches have been extended with ideas from spectral graph theory (Shuman et al., 2011; Ekambaram et al., 2013). Recently, attention has shifted to models that learn g”
- Wavelet-regularized graph semi-supervised learning (2013, background): “This has been the focus of some recent literature [3] [7] [8].”