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Found 4 papers, 2 papers with code
VEC-SBM: Optimal Community Detection with Vectorial Edges Covariates
Social networks are often associated with rich side information, such as texts and images.
Seeded graph matching for the correlated Gaussian Wigner model via the projected power method
We assume in this work that the observed pair $G, H$ has been drawn from the Correlated Gaussian Wigner (CGW) model -- a popular model for correlated weighted graphs -- where the entries of the adjacency matrices of $G$ and $H$ are independent Gaussians and each edge of $G$ is correlated with one edge of $H$ (determined by the unknown matching) with the edge correlation described by a parameter $\sigma\in [0, 1)$.
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees
Our algorithm can be applied to general Contextual Stochastic Block Models and avoids hyperparameter tuning in contrast to previously proposed methods.
Clustering multilayer graphs with missing nodes
When these relationships have different modalities, they are better modelled by multilayer graphs where each layer is associated with one modality.
