Fig. 7
From: Learning compact graph representations via an encoder-decoder network
The embeddings for graphs in the HIV dataset visualized in 2D space (we used Kernel PCA (Mika et al. 1998) for dimension reduction). We highlight two different pairs of embeddings that are close to each other – to show structurally and “functionally” similar graphs that have learned embeddings that are also similar. We include the other embeddings to give the reader a sense of the proximity of the graphs in our example to other graphs and to each other