Fig. 5: Cosine similarity and AUC in a Gene Disease dataset.
From: Structure and inference in hypergraphs with node attributes
A Cosine similarity between the three types of communities: attribute, HyCoSBM and Hy-MMSBM. B AUC in predicting missing hyperedges. Bars and error bars are averages and standard deviations over 5 cross-validation folds. The membership u detected by HyCoSBM correlates with the DPI attribute and achieves higher AUC than both Hy-MMSBM and the model trained with u fixed as the attribute.
