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Applied Network Science
Fig. 6 | Applied Network Science

Fig. 6

From: The interplay between communities and homophily in semi-supervised classification using graph neural networks

Fig. 6

Community-label correlation (\(\rho\)) on manipulated graphs. The bars represent the change in this correlation measure. We see that the change in correlation is high for homophilic graphs and low for non-homophilic graphs, following a pattern similar to homophily in Fig. 1. This measure was computed for the labeled nodes (train and validation sets) of each graph (original and manipulated) with ten different random splits

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