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A Graph and Attentive Multi-Path Convolutional Network for Traffic Prediction [article]

Jianzhong Qi, Zhuowei Zhao, Egemen Tanin, Tingru Cui, Neema Nassir, Majid Sarvi
2022 arXiv   pre-print
Traffic prediction is an important and yet highly challenging problem due to the complexity and constantly changing nature of traffic systems.  ...  Such a joint impact is further modulated by an attention} generated from an embedding of the prediction time, which encodes the periodic patterns of traffic conditions.  ...  The AGCRN original source code has a compatibility issue with CUDA and PyTorch libraries. We use an implementation from LibCity ( LibCity/Bigscity-LibCity) instead.  ... 
arXiv:2205.15218v1 fatcat:iwohlqdeynag3kqrpihuokdu7u