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Orignal Ariticle: link 本期，根据维基百科、知乎整理出图上的傅里叶变换。 Graph Fourier Transform In mathematics, graph Fourier transform is a mathematical transform which eigendecomposes the Laplacian matrix of a graph into eigenvalues and eigenvectors. Analogously to classical.

Orignal in Wechat article. Why do we need graph embedding Machine learning algorithms are tuned for continuous data, hence why embedding is always to a continuous vector space. What is graph embedding Definition Graph embedding is an approach that is us.

原文阅读 Laplacian matrix Laplacian matrix是图论数学领域的一个概念，又名graph Laplacian, admittance matrix, Kirchhoff matrix或discrete Laplacian，是一个图的矩阵表示。 Definition Laplacian matrix for simple graphs 给定一个有nnn个节点的简单图GGG，它的Laplacian矩阵Ln×n\bf{L}_{n\times n}Ln×n​可以定义为 L=D−A, .