Traffic Prediction On Ne Bj

12 steps MAE

Results

Performance results of various models on this benchmark

Model Name	12 steps MAE	Paper Title
MTGNN	4.90	Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
AGCRN	4.99	Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
RGDAN	4.68	RGDAN: A random graph diffusion attention network for traffic prediction
GMAN	4.80	GMAN: A Graph Multi-Attention Network for Traffic Prediction
DGCRN	4.79	Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Graph WaveNet	4.99	Graph WaveNet for Deep Spatial-Temporal Graph Modeling

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