Enhancing Distance-Based Graph Autoencoders with Structural Penalties for Dynamic Graph Embedding

Aleksandar Tomčić, Miloš Savić, Miloš Radovanović

Graph autoencoders (GAEs) are widely used for learning representations of dynamic graphs. However, their optimisation objectives typically do not take structural heterogeneity acro…