Analyzing the Transferability of Collective Inference Models Across Networks

Keyphrases

• Transferability 100%
• Collective Inference 100%
• Inference Model 100%
• Local Model 60%
• Collective Classification 60%
• Classification Model 40%
• Template Models 40%
• Node Classification 40%
• Network Domain 40%
• Network Structure 20%
• Prediction Accuracy 20%
• Calibration Process 20%
• Relational Model 20%
• Propagation Error 20%
• Data Networks 20%
• Probability Calibration 20%
• Network Classification 20%
• Graph Structure 20%
• Large Animal Model 20%
• Structure Model 20%
• Labeled Data 20%
• Transfer Learning Model 20%
• Transfer Learning 20%
• Heterogeneous Networks 20%
• Link Prediction 20%
• Labeled Networks 20%
• Real-data Experiments 20%

Computer Science

• Classification Models 100%
• Inference Model 100%
• Transfer Learning 100%
• Network Domain 100%
• Node Classification 100%
• Network Structures 50%
• Calibration Process 50%
• Deep Understanding 50%
• Relational Database 50%
• Computer Network 50%
• Predictive Accuracy 50%
• Heterogeneous Network 50%
• Link Prediction 50%

INIS

• classification 100%
• data 60%
• learning 60%
• probability 20%
• algorithms 20%
• accuracy 20%
• performance 20%
• graphs 20%
• prediction 20%
• errors 20%
• calibration 20%