الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Traffic Prediction On Pemsd4

المقاييس

12 steps MAE

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	12 steps MAE	Paper Title	Repository
STD-MAE	17.80	Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
PM-DMNet(R)	18.37	Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
PDG2Seq	18.24	PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
STWave	18.50	When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
FasterSTS	18.49	FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting	-
HTVGNN	17.99	A novel hybrid time-varying graph neural network for traffic flow forecasting	-
STG-NCDE	19.21	Graph Neural Controlled Differential Equations for Traffic Forecasting
DDGCRN	18.45	A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting
Hierarchical-Attention-LSTM (HierAttnLSTM)	9.168	Network Level Spatial Temporal Traffic State Forecasting with Hierarchical Attention LSTM (HierAttnLSTM)
PDFormer	18.32	PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction
STG-NRDE	19.13	Graph Neural Rough Differential Equations for Traffic Forecasting
HAGCN	18.70	HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting	-
PM-DMNet(P)	18.34	Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction

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