Attention-Based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting

Keyphrases

• Graph Convolutional Network 100%
• Attention-based 100%
• Spatial-temporal Graph 100%
• Artificial Intelligence 25%
• Performance Prediction 25%
• Graph Structure 25%
• Traffic Data 25%
• Transformer 25%
• Real-time Traffic 25%
• Model Complex 25%
• Learning on Graphs 25%
• Traffic Forecasting 25%
• Temporal Relations 25%
• Transportation Science 25%
• Temporal Correlation 25%
• Spatiotemporal Pattern 25%
• Global Attention 25%
• Expressive Power 25%
• Spatial Dependence 25%
• Module Base 25%
• Attention Layer 25%
• Temporal Dependence 25%
• Neural Network Framework 25%
• Spatial-temporal Correlation 25%
• Attention Module 25%
• Temporal Attention 25%
• Traffic Dataset 25%
• Gated Recurrent Unit 25%
• Multi-head Attention 25%
• Spatiotemporal Neural Network 25%
• Accurately Model 25%
• Spatial-temporal Dependencies 25%
• Adaptive Graph Convolutional Network 25%
• Unit Graph 25%
• Informer 25%

Computer Science

• Temporal Graph 100%
• Recurrent Network 100%
• Graph Convolutional Network 50%
• Temporal Relationship 50%
• Baseline Method 50%
• Attention (Machine Learning) 50%
• Gated Recurrent Unit 50%
• Neural Network 50%
• Predictive Performance 50%
• Fundamental Problem 50%
• Temporal Correlation 50%
• Expressive Power 50%
• Artificial Intelligence 50%
• Graph Structure Learning 50%