Fig. 7From: The interplay between communities and homophily in semi-supervised classification using graph neural networksCommunity-label correlation with gradual community swapping. The figure shows the calculated \(\rho\) for each dataset. The swap fraction represents the fraction of nodes which changed their community. We see a decline in the coefficient with increasing swapping fraction for homophilic datasets (top row). This line is already constant for non-homophilic datasets (bottom row) as the measure is already low in the original graphsBack to article page