Fig. 1: Community detection in synthetic hypegraphs.
From: Structure and inference in hypergraphs with node attributes
We show the cosine similarity between the communities inferred by the various algorithms and the ground truth communities in synthetic hypergraphs, with N = 500 and E = 2720. We show results for different numbers of communities K (from left to right). The number of attributes Z is selected to be equal to K, and the parameter γ is set equal to the fraction ρ of unshuffled attributes. We compare HyCoSBM with Hy-MMSBM, which serves as a baseline that only employs structural information. We also measure the cosine similarity of the attribute matrix X and the ground truth membership matrix u Only attributes. Lines and shades around them are averages and standard deviations over 10 different network realizations.
