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Mathematics
General Math
Graph Representation Learning: Question about eigenvector of Laplacian
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[QUOTE="Master1022, post: 6528216, member: 650268"] [B]TL;DR Summary:[/B] What does the eigenvector of the laplacian matrix actually represent? Hi, I was reading the following book about applying deep learning to graph networks: [U][URL='https://www.deeplearningbook.org']link[/URL][/U]. In chapter 2 (page 22), they introduce the graph Laplacian matrix ##L##: [tex] L = D - A [/tex] where ##D## is the degree matrix (it is diagonal) and ##A## is the adjacency matrix. [B]Question:[/B] What does an eigenvector of a Laplacian graph actually represent on an intuitive level? Also, I apologize if this is the wrong forum - should I have posted elsewhere? Thanks in advance. [/QUOTE]
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Graph Representation Learning: Question about eigenvector of Laplacian
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