Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network

Keyphrases

• Topology-aware 100%
• Internet of Things Applications 100%
• Missing Sensor 100%
• Gated Graph Neural Network 100%
• Graph Signal Recovery 28%
• Neural Network 14%
• Recent Advances 14%
• Model Performance 14%
• Reconstruction Performance 14%
• Automatically Control 14%
• Neural Network Model 14%
• Performance Degradation 14%
• Gating Mechanism 14%
• Network Topology 14%
• Control Information 14%
• Interconnected Networks 14%
• Sensor Networks 14%
• Physical Network 14%
• Electroencephalogram 14%
• Backbone Network 14%
• Message Passing 14%
• Information Flow 14%
• Sensor Failure 14%
• Human Activity Recognition 14%
• External Attacks 14%
• Reliable Data Delivery 14%
• Sensor Information 14%
• Topological Methods 14%
• Network Loss 14%
• Reliable Data Collection 14%
• Reliable Data Transmission 14%
• Public Dataset 14%
• Reconstruction Module 14%
• Recognition Model 14%
• Spatial Locality 14%
• Feature Reconstruction 14%
• Intelligent Services 14%
• Accuracy Loss 14%
• Inference Time 14%
• Internet of Things System 14%
• Message-passing Mechanism 14%
• Graph Neural Network 14%
• Gated Recurrent Unit 14%
• Motor Imagery Classification 14%
• Sensor Data Delivery 14%
• Neural Message Passing 14%

Computer Science

• Graph Neural Network 100%
• Internet-Of-Things 100%
• Message Passing 50%
• Neural Network 25%
• Neural Network Model 25%
• Backbone Network 25%
• Network Topology 25%
• Performance Model 25%
• Performance Degradation 25%
• Physical Network 25%
• Human Activity Recognition 25%
• Network Failure 25%
• Interconnected Network 25%
• Spatial Locality 25%
• Information Flow Control 25%
• Gated Recurrent Unit 25%