HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Traffic Prediction On Pemsd8

평가 지표

12 steps MAE

12 steps RMSE

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	12 steps MAE	12 steps RMSE	Paper Title	Repository
Hierarchical-Attention-LSTM (HierAttnLSTM)	9.215	22.320	Network Level Spatial Temporal Traffic State Forecasting with Hierarchical Attention LSTM (HierAttnLSTM)
PM-DMNet(P)	13.55	23.35	Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
STD-MAE	13.44	22.47	Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
PDG2Seq	13.60	23.37	PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction
STG-NRDE	15.32	24.72	Graph Neural Rough Differential Equations for Traffic Forecasting
FasterSTS	13.60	-	FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting	-
STWave	13.42	-	When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks
DDGCRN	14.40	-	A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting
HTVGNN	13.24	-	A novel hybrid time-varying graph neural network for traffic flow forecasting	-
HAGCN	14.85	-	HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting	-
STG-NCDE	15.45	24.81	Graph Neural Controlled Differential Equations for Traffic Forecasting
PM-DMNet(R)	13.40	23.22	Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
PDFormer	13.58	-	PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction

0 of 13 row(s) selected.