Fig. 3
From: Joint embedding of structure and features via graph convolutional networks
Relative loss disadvantage for overlapping and reference models. The curve colours represent the total embedding dimensions F, and the x axis corresponds to feature-network correlation. The top row is the total loss, the middle row is the adjacency matrix reconstruction loss and the bottom row is the feature reconstruction loss. The left column shows overlapping models, and the right column shows reference non-overlapping models. See main text for a discussion