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Implications of sparsity and high triangle density for graph
  representation learning

Implications of sparsity and high triangle density for graph representation learning

27 October 2022
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
ArXivPDFHTML

Papers citing "Implications of sparsity and high triangle density for graph representation learning"

1 / 1 papers shown
Title
Minimax rates for latent position estimation in the generalized random
  dot product graph
Minimax rates for latent position estimation in the generalized random dot product graph
Hao Yan
Keith D. Levin
20
2
0
04 Jul 2023
1