Trend analysis is like trying to guess where a ball will go next by watching where it’s been. In the stock market, it means ...

Efficient training of large-scale graph neural networks (GNNs) has been studied with a specific focus on reducing their memory consumption. Work by Liu et al. (2022) proposed extreme activation ...

Graph datasets with billions of edges, such as social and web graphs, are prevalent, and scalability is critical. All-distances sketches (ADS) [Cohen 1997], are a powerful tool for scalable ...