Nonlinear Diffusion for Community Detection and Semi-Supervised Learning
WWW 2019
Pages: 739 - 750
Published: May 13, 2019
Abstract
Diffusions, such as the heat kernel diffusion and the PageRank vector, and their relatives are widely used graph mining primitives that have been successful in a variety of contexts including community detection and semi-supervised learning. The majority of existing methods and methodology involves linear diffusions, which then yield simple algorithms involving repeated matrix-vector operations. Recent work, however, has shown that sophisticated...
Paper Details
Title
Nonlinear Diffusion for Community Detection and Semi-Supervised Learning
Published Date
May 13, 2019
Pages
739 - 750
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