During Gayathri Ramkumar’s favorite lesson — a sort of mathematical guessing game — she’ll hear her students asking their partners things like, “Can you tell me the degree of the polynomial?” Not only ...

Recently graph auto-encoders have received increasingly widespread attention as one of the important models in the field of deep learning. Existing graph auto-encoder models only use graph ...

Graph Neural Networks (GNNs) have recently achieved significant success in processing non-Euclidean datasets, such as social and protein-protein interaction networks. However, these datasets often ...