Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks

Mathematics

• Meta-learning 100%
• Power Control 82%
• Neural Networks 47%
• Channel State Information 39%
• Control Policy 26%
• Graph in graph theory 23%
• Training 21%
• Topology 21%
• Network Architecture 15%
• Wireless Networks 13%
• Module 13%
• Stochastic Gradient 13%
• Network Topology 13%
• Design Methodology 13%
• Leverage 12%
• Gradient Descent 12%
• Black Box 11%
• Data-driven 11%
• Availability 10%
• Optimise 10%
• Policy 9%
• Time-varying 9%
• Assignment 9%
• Filter 8%
• Target 8%
• Control Problem 8%
• Optimization 7%
• Numerical Results 6%
• Demonstrate 6%
• Vertex of a graph 5%

Engineering & Materials Science

• Power control 46%
• Topology 34%
• Neural networks 30%
• Channel state information 26%
• Network architecture 11%
• Wireless networks 9%
• Availability 8%