Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms
Published: Aug 10, 2015
Abstract
Graph-based learning methods have a variety of names including semi-supervised and transductive learning. They typically use a diffusion to propagate labels from a small set of nodes with known class labels to the remaining nodes of the graph. While popular, these algorithms, when implemented in a straightforward fashion, are extremely sensitive to the details of the graph construction. Here, we provide four procedures to help make them more...
Paper Details
Title
Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms
Published Date
Aug 10, 2015
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