L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders

Ruikang Ouyang, Andrew Elliott, Stratis Limnios +2

For analysing real-world networks, graph representation learning is a popular tool. These methods, such as a graph autoencoder (GAE), typically rely on low-dimensional representati…