Fig. 5: Average AUC for completely-unobserved target layers on synthetic datasets.
From: Sequential stacking link prediction algorithms for temporal networks
(a) community-label T-SBM and (b) edge-correlated T-SBM networks, with 200 nodes and 10 layers. Each row shows results for a different fraction of random edges, μ (see Methods), at different copy probabilities, p (of community-labels in a, of edges in b), and numbers of communities, k. Dashed lines represent the theoretical maximum average link prediction performance achievable by an oracle that knows the full T-SBM specification. Colors indicate different link prediction methods (see legend). A random forest is used for supervised stacking of methods.
