Boosting long-term forecasting performance for continuous-time dynamic graph networks via data augmentation

Yuxing Tian, Mingjie Zhu, Jiachi Luo +1

This study focuses on long-term forecasting (LTF) on continuous-time dynamic graph networks (CTDGNs), which is important for real-world modeling. Existing CTDGNs are effective for…