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Fig. 8 | Applied Network Science

Fig. 8

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

Fig. 8

Community-label correlation impact on GCN accuracy. The figure shows GCN test accuracy on all eight datasets with changing \(\rho\). Each point represents a graph, where each graph is a \(Mix^-\) graph after applying swapping for a fraction of nodes with a certain random seed for swapping. We see a positive correlation between \(\rho\) and the GNN accuracy for homophilic datasets (top row), and no obvious correlation for non-homophilic datasets (bottom row)

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