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cs.LG2023
Bayesian Formulations for Graph Spectral Denoising
Sam Leone, Xingzhi Sun, Michael Perlmutter +1
Here we consider the problem of denoising features associated to complex data, modeled as signals on a graph, via a smoothness prior. This is motivated in part by settings such as…
cs.LG2023
BLIS-Net: Classifying and Analyzing Signals on Graphs
Charles Xu, Laney Goldman, Valentina Guo +7
Graph neural networks (GNNs) have emerged as a powerful tool for tasks such as node classification and graph classification. However, much less work has been done on signal classif…