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Traffic Prediction On Pems07

Metriken

MAE@1h

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

		Paper Title	Repository
ASTGCN	28.05	Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting	-
STGCN	25.38	Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
STSGCN	24.26	Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting	-
STGODE	22.99	Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting
STFGNN	22.07	Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
ADN	21.62	Structured Time Series Prediction without Structural Prior
STWave	19.94	When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks	-
PDFormer	19.83	PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
DDGCRN	19.79	A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting	-
ADCSD	19.62	Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting
CorrSTN	19.62	A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting
Cy2Mixer	19.45	Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
PM-DMNet(P)	19.35	Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
PDG2Seq	19.28	PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction	-
PM-DMnet(R)	19.18	Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
STAEformer	19.14	STAEformer: Spatio-Temporal Adaptive Embedding Makes Vanilla Transformer SOTA for Traffic Forecasting
STD-MAE	18.31	Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

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