A Comparative Study for Unsupervised Network Representation Learning

INIS

• learning 100%
• graphs 66%
• optimization 33%
• randomness 33%
• prediction 16%
• design 16%
• datasets 16%
• matrices 16%
• evaluation 16%
• information 16%
• comparative evaluations 16%
• exploitation 16%
• architecture 16%
• factorization 16%
• performance 16%
• classification 16%

Computer Science

• Network Representation Learning 100%
• Performance Difference 20%
• Deep Architecture 20%
• Link Prediction 20%
• Context Information 20%
• Embedding Method 20%
• Optimisation Objective 20%
• Node Classification 20%