2 papers
cs.LG2026
Structure-Guided Spatiotemporal Attention Graph Neural Network for Traffic Flow Prediction
Xuanmian He, Can Li, Wanjing Ma
Deep spatiotemporal models integrating graph convolutions and attention mechanisms have demonstrated excellent performance in network-level traffic flow prediction, owing to their…
cs.AI2026
RTSKG: Building a Rail Transit Station Knowledge Graph Dataset
Shutong Zhu, Tianxing Wu, Runfeng Liu +3
Rail transit systems play a vital role in urban mobility and economic development. As key components of such systems, rail transit stations function as critical transport hubs that…