Fig 1.
AUC scores over 5 runs on each network for 9 link prediction algorithms on samples obtained by 20 methods.
The 250 different networks are grouped into 6 domains (arranged vertically). Symbols indicate mean AUCs, with standard deviations shown by vertical bars. The sampling methods are listed along the bottom of the figure. The prediction methods are marked with different colors, as indicated in the legend at the top.
Fig 2.
Box plots of AUCs from different link prediction methods for different families of missingness patterns, grouped by network domain.
The plotted whiskers indicate the extreme range of values, up to the constraint of being no longer than 1.5x the interquartile range; any outliers beyond this range have been removed for improved visibility. Corresponding results for individual missingness patterns are plotted in the same manner in S1-S5 Figs in S1 File.
Fig 3.
PCA scores (PC1 horizontal, PC2 vertical) of different sampling methods under different prediction algorithms and different dataset domains.
Each panel considers a single link prediction method within a single dataset domain, taking as features the full set of AUC scores (averaged over 5 runs) of that prediction method across the networks in that domain for each sampling method, marked with different colors and symbols as indicated in the legend.