Many real-world datasets are represented as tensors, i.e., multi-dimensi...
Many real-world data are naturally represented as a sparse reorderable
m...
A variety of tasks on dynamic graphs, including anomaly detection, commu...
Graph neural networks (GNNs) are one of the most popular approaches to u...
Consider traffic data (i.e., triplets in the form of
source-destination-...