A flattened Transformer with temporal plus graph-structure encodings reports state-of-the-art RMSE and MAPE on traffic forecasting benchmarks.
Diffusion-convolutional neural networks
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T-Graphormer: Using Transformers for Spatiotemporal Forecasting
A flattened Transformer with temporal plus graph-structure encodings reports state-of-the-art RMSE and MAPE on traffic forecasting benchmarks.