Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning

Recently, there has been great success in applying deep neural networks on graph structured data. Most work, however, focuses on either node-or graph-level supervised learning, such as node, link or graph classification or node-level unsupervised learning (e.g.