BriefGPT.xyz
Sep, 2019
随机几何图的潜在距离估计
Latent Distance Estimation for Random Geometric Graphs
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Ernesto Araya, Yohann De Castro
TL;DR
本文提出了一种基于样本点的谱估计器来构建随机几何图的方法,并证明其与非参数估计方法具有相同的收敛速率,同时提供了一种高效的计算方法,并通过该方法能够稳定地估计潜在空间的维度。
Abstract
random geometric graphs
are a popular choice for a
latent points generative model
for networks. Their definition is based on a sample of $n$ points $X_1,X_2,\cdots,X_n$ on the Euclidean sphere~$\mathbb{S}^{d-1}$
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