Zoom link: https://us02web.zoom.us/j/4685913265Title:Graph Representation Learning Through Recoverability Abstract:Self-supervised learning methods became popular for graph representation learning because they do not rely on manual labels and offer better generalization. Contrastive methods based on mutual information maximization between augmented instances of the same object are widely used in self-supervised learning of representations. For graph-structured data, however, there are two ... Read more