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cs.LG2025
STGAtt: A Spatial-Temporal Unified Graph Attention Network for Traffic Flow Forecasting
Zhuding Liang, Jianxun Cui, Qingshuang Zeng +3
Accurate and timely traffic flow forecasting is crucial for intelligent transportation systems. This paper presents a novel deep learning model, the Spatial-Temporal Unified Graph…
cs.LG2025
Generalising Traffic Forecasting to Regions without Traffic Observations
Xinyu Su, Majid Sarvi, Feng Liu +2
Traffic forecasting is essential for intelligent transportation systems. Accurate forecasting relies on continuous observations collected by traffic sensors. However, due to high d…
cs.LG2022★ 1 cited
Balanced Graph Structure Learning for Multivariate Time Series Forecasting
Weijun Chen, Yanze Wang, Chengshuo Du +3
Accurate forecasting of multivariate time series is an extensively studied subject in finance, transportation, and computer science. Fully mining the correlation and causation betw…