Traffic Prediction On Ne Bj

12 steps MAE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	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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