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Retrieved on: 2024-11-05 14:04:25
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Summary
The article details a study using Graph Neural Networks (GNNs) for traffic forecasting, evaluated on real-world datasets with metrics like RMSE, MAE, and MAPE. It compares various models including convolutional networks and discusses model efficiency and data set partitioning.
Article found on: www.nature.com
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