Fig. 1From: Unsupervised network embeddings with node identity awarenessOverview of the proposed method. Given a family of graphs, we train an unsupervised neural network in order to uncover dissimilar relationships between graphs. The graphs are embedded into a feature space and mapped to a Euclidean distance matrix reflecting the structural similarity between input examplesBack to article page