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  • 标题:Reconstruction of line-embeddings of graphons
  • 本地全文:下载
  • 作者:Jeannette Janssen ; Aaron Smith
  • 期刊名称:Electronic Journal of Statistics
  • 印刷版ISSN:1935-7524
  • 出版年度:2022
  • 卷号:16
  • 期号:1
  • 页码:331-407
  • DOI:10.1214/21-EJS1940
  • 语种:English
  • 出版社:Institute of Mathematical Statistics
  • 摘要:Consider a random graph process with n vertices corresponding to points vi∼i.i.d.Unif[0,1] embedded randomly in the interval, and where edges are inserted between vi,vj independently with probability given by the graphon w(vi,vj)∈[0,1]. Following [11], we call a graphon w diagonally increasing if, for each x, w(x,y) decreases as y moves away from x. We call a permutation σ∈Sn an ordering of these vertices if vσ(i)0. These improved seriation bounds can be combined with previous work to give more efficient and accurate algorithms for related tasks, including estimating diagonally increasing graphons [20, 21] and testing whether a graphon is diagonally increasing [11].
  • 关键词:60-04;60B20;graphon;probabilistic algorithm;random graph;R-matrix
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