Fig. 7: The first two principal components (PC) of the set of Gini importance scores of the 41 learned model features for each of the 19 real-world temporal networks, for the (a) partially-observed target layer setting and (b) completely-unobserved target layer setting.
From: Sequential stacking link prediction algorithms for temporal networks
The total accumulated explained variance ratios are marked on the figure caption respectively.
