2 papers
cs.LG2025
TimeFormer: Transformer with Attention Modulation Empowered by Temporal Characteristics for Time Series Forecasting
Zhipeng Liu, Peibo Duan, Xuan Tang +6
Although Transformers excel in natural language processing, their extension to time series forecasting remains challenging due to insufficient consideration of the differences betw…
cs.LG2025
A Distillation-based Future-aware Graph Neural Network for Stock Trend Prediction
Zhipeng Liu, Peibo Duan, Mingyang Geng +1
Stock trend prediction involves forecasting the future price movements by analyzing historical data and various market indicators. With the advancement of machine learning, graph n…