Batch and negative sampling design for human mobility graph neural network training

Keyphrases

• Accuracy-based 33%
• Batch Sampling 100%
• Behavioral Aspects 33%
• Call to Action 33%
• Comprehensive Dataset 33%
• Deep Learning Methods 33%
• Deep Process 33%
• Design for Humans 100%
• Dynamic Time Warping 33%
• Graph Neural Network 100%
• Human Mobility 100%
• Human Mobility Patterns 33%
• Human Mobility Prediction 33%
• Human Movement 33%
• Location-aware 33%
• Mini-batching 33%
• Mobility Graphs 100%
• Mobility Studies 33%
• Negative Sampling 100%
• Network Science 33%
• Neural Network Training 100%
• Sampling Design 100%
• Sampling Methods 33%
• Scientific Framework 33%
• Single GPU 33%
• Spatial Dynamics 33%
• Temporal Dynamics 33%
• Top 10 33%
• Training Process 33%

Computer Science

• Deep Learning 100%
• Graph Neural Network 100%
• Learning Approach 50%
• Learning Process 50%
• Network Science 50%
• Neural Network Training 100%
• Training Process 50%