AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction

Computer Science

• Traffic Flow Prediction 100%
• Neural Architecture Search 100%
• Feature Extraction 66%
• semantic gap 66%
• Deep Learning 33%
• Receptive Field 33%
• Temporal Feature 33%
• Data Source 33%
• Learning Framework 33%
• Search Space 33%
• Feature Fusion 33%
• Search Technique 33%
• Traffic Network 33%
• Local Correlation 33%
• Graph Convolution 33%