This project forked from leibai/agcrn
Adaptive Graph Convolutional Recurrent Network
This folder concludes the code and data of our AGCRN model: Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting.
data: including PEMSD4 and PEMSD8 dataset used in our experiments, which are released by and available at ASTGCN.
lib: contains self-defined modules for our work, such as data loading, data pre-process, normalization, and evaluate metrics.
model: implementation of our AGCRN model
Python 3.6.5, Pytorch 1.1.0, Numpy 1.16.3, argparse and configparser
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