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Proceedings of the AAAI Conference on Artificial Intelligence· 2020

GMAN: A Graph Multi-Attention Network for Traffic Prediction

Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, Jianzhong Qi

Short summary

A novel Graph Multi-Attention Network (GMAN) is proposed for long-term traffic prediction, outperforming state-of-the-art methods by up to 4% in MAE for 1-hour ahead predictions.

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Field: Building and Construction

Building and ConstructionEngineering