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SOTA
Traffic Prediction
Traffic Prediction On Pems M
Traffic Prediction On Pems M
Metrics
MAE (60 min)
Results
Performance results of various models on this benchmark
Columns
Model Name
MAE (60 min)
Paper Title
T-UNet
7.036
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
FC-LSTM
4.16
Sequence to Sequence Learning with Neural Networks
STGCN
4.02
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
3D-TGCN
3.65
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
ST-UNet
3.38
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
0 of 5 row(s) selected.
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Next
HyperAI
HyperAI
Home
Console
Docs
News
Papers
Tutorials
Datasets
Wiki
SOTA
LLM Models
GPU Leaderboard
Events
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
Search the site…
⌘
K
Command Palette
Search for a command to run...
Console
Home
SOTA
Traffic Prediction
Traffic Prediction On Pems M
Traffic Prediction On Pems M
Metrics
MAE (60 min)
Results
Performance results of various models on this benchmark
Columns
Model Name
MAE (60 min)
Paper Title
T-UNet
7.036
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
FC-LSTM
4.16
Sequence to Sequence Learning with Neural Networks
STGCN
4.02
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
3D-TGCN
3.65
3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
ST-UNet
3.38
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
0 of 5 row(s) selected.
Previous
Next