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cs.LG2026
Efficient Traffic Prediction at Scale: A Systematic Study of STGCN Architectural Depth
Soban Nasir Lone, Mohamed Abouelela, Taeyoung Yu +2
Spatio-temporal graph neural networks (STGNNs) have become the dominant approach for traffic prediction, yet their computational requirements pose challenges for practical deployme…
cs.LG2025
A Gentle Introduction and Tutorial on Deep Generative Models in Transportation Research
Seongjin Choi, Zhixiong Jin, Seung Woo Ham +2
Deep Generative Models (DGMs) have rapidly advanced in recent years, becoming essential tools in various fields due to their ability to learn complex data distributions and generat…