1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting
Nancy Xu, Chrysoula Kosma, Michalis Vazirgiannis
Time series forecasting lies at the core of important real-world applications in many fields of science and engineering. The abundance of large time series datasets that consist of…
cs.LG2022
Time Series Forecasting Models Copy the Past: How to Mitigate
Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu +1
Time series forecasting is at the core of important application domains posing significant challenges to machine learning algorithms. Recently neural network architectures have bee…