Unified Statistical Theory of Spectral Graph Analysis
Statistics Theory
2016-09-22 v4 Methodology
Machine Learning
Statistics Theory
Abstract
The goal of this paper is to show that there exists a simple, yet universal statistical logic of spectral graph analysis by recasting it into a nonparametric function estimation problem. The prescribed viewpoint appears to be good enough to accommodate most of the existing spectral graph techniques as a consequence of just one single formalism and algorithm.
Keywords
Cite
@article{arxiv.1602.03861,
title = {Unified Statistical Theory of Spectral Graph Analysis},
author = {Subhadeep Mukhopadhyay},
journal= {arXiv preprint arXiv:1602.03861},
year = {2016}
}
Comments
Major changes have been done in terms of contents and structure of the paper. New set of motivations for GraField, Expanding Section 4, Connections with Diffusion map and Google's PageRank method etc