Latent graph inference is the task of infering graph or relational relations from unstructured or semi-structured data. It’s potentially very useful because it allows us to use GNN type of methods on data even without graph structure input. There has been initial work in this area, and current findings suggest that it can improve model performance even on data with graph relation input.