PM2.5 forecasting under distribution shift: A graph learning approach

Keyphrases

• Learning Approaches 100%
• Distribution Shift 100%
• Graph Learning 100%
• PM2.5 Prediction 100%
• Graph-based 40%
• New Benchmark 40%
• Graph Neural Network 40%
• Benchmark Tasks 40%
• Spatial-temporal Graph Neural Network 40%
• Graph-based Machine Learning 40%
• Neural Network Model 20%
• Environmental Sensors 20%
• Large Families 20%
• Future Air Quality 20%
• Graphical Models 20%
• Distributed Network 20%
• PM2.5 Concentration 20%
• Geographically Distributed 20%
• Spatio-temporal Prediction 20%
• Machine Learning Models 20%
• Prediction Task 20%
• Split Method 20%
• Learning Distributions 20%
• Spatio-temporal Learning 20%

Computer Science

• Learning Approach 100%
• Graph Neural Network 100%
• Machine Learning 50%
• Benchmark Task 50%
• Spatiotemporal Graph 50%
• Neural Network Model 25%
• Technical Challenge 25%
• Distributed Network 25%
• Special Attention 25%

Psychology

• Neural Network 100%
• Network Model 25%
• Learning Model 25%