Minority-Weighted Graph Neural Network for Imbalanced Node Classification in Social Networks of Internet of People

Keyphrases

• Social Networks 100%
• Graph Neural Network 100%
• Weighted Graph 100%
• Internet of People 100%
• Imbalanced Node Classification 100%
• Feature Aggregation 50%
• Node Features 50%
• Social Information 25%
• Graph Structure 25%
• Data Distribution 25%
• Imbalanced Classification 25%
• Classification Performance 25%
• Social Network Analysis 25%
• Imbalance Problem 25%
• Traditional Machine Learning 25%
• Result Prediction 25%
• Balanced Data 25%
• Interactive Communication 25%
• Imbalanced Data 25%
• Gumbel Distribution 25%
• Learning Areas 25%
• Synthetic Minority 25%
• Activation Function 25%
• Graph Convolutional Network 25%
• Node Membership 25%
• Edge Prediction 25%
• Semi-supervised Node Classification 25%
• Data for Decision-making 25%
• Cost-sensitive Learning 25%
• Membership Value 25%
• Network Datasets 25%

Computer Science

• Social Network 100%
• Graph Neural Network 100%
• Node Classification 100%
• weighted graph 100%
• Decision-Making 25%
• Machine Learning 25%
• Experimental Result 25%
• Data Distribution 25%
• Structured Data 25%
• Classification Performance 25%
• Interactive Communication 25%
• Social Network Analysis 25%
• Social Network Data 25%
• Imbalanced Data 25%
• Activation Function 25%
• Graph Convolutional Network 25%
• Membership Value 25%
• Network Data Set 25%