no code implementations • 22 May 2023 • Hannu Reittu, Lasse Leskelä, Tomi Räty
The number of columns is allowed to be arbitrary, so that the data matrix can be easily expanded by adding columns.
no code implementations • 27 Jan 2023 • Kalle Alaluusua, Konstantin Avrachenkov, B. R. Vinay Kumar, Lasse Leskelä
We consider the community recovery problem on a multilayer variant of the hypergraph stochastic block model (HSBM).
1 code implementation • 24 May 2021 • Jeta Molla, Alejandro Ponce de León Chávez, Takayuki Hiraoka, Tapio Ala-Nissila, Mikko Kivelä, Lasse Leskelä
We evaluate the efficiency of various heuristic strategies for allocating vaccines against COVID-19 and compare them to strategies found using optimal control theory.
1 code implementation • 11 Aug 2020 • Konstantin Avrachenkov, Maximilien Dreveton, Lasse Leskelä
This article studies the estimation of latent community memberships from pairwise interactions in a network of $N$ nodes, where the observed interactions can be of arbitrary type, including binary, categorical, and vector-valued, and not excluding even more general objects such as time series or spatial point patterns.
no code implementations • 30 Jun 2020 • Hannu Reittu, Ville Kotovirta, Lasse Leskelä, Hannu Rummukainen, Tomi Räty
The use of quantum computing in graph community detection and regularity checking related to Szemeredi's Regularity Lemma (SRL) are demonstrated with D-Wave Systems' quantum annealer and simulations.