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Found 5 papers, 2 papers with code
A network community detection method with integration of data from multiple layers and node attributes
The number of columns is allowed to be arbitrary, so that the data matrix can be easily expanded by adding columns.
Multilayer hypergraph clustering using the aggregate similarity matrix
We consider the community recovery problem on a multilayer variant of the hypergraph stochastic block model (HSBM).
Adaptive and optimized COVID-19 vaccination strategies across geographical regions and age groups
We evaluate the efficiency of various heuristic strategies for allocating vaccines against COVID-19 and compare them to strategies found using optimal control theory.
Community recovery in non-binary and temporal stochastic block models
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.
Towards analyzing large graphs with quantum annealing and quantum gate computers
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.
