Adversarial training methods for network embedding

Keyphrases

• Network Embedding 100%
• Training Methods 100%
• Adversarial Training 100%
• Regularization Method 75%
• Learning Process 50%
• Node Classification 50%
• Generative Adversarial Networks 50%
• Link Prediction 50%
• Embedding Learning 50%
• Embedding Vectors 50%
• Prediction Classification 50%
• Convergence Problem 25%
• Generalization Performance 25%
• Network Structure 25%
• Non-convergence 25%
• Connectivity Pattern 25%
• Node Representation 25%
• Embedding Space 25%
• Overfitting 25%
• Network Properties 25%
• Low-dimensional Embedding 25%
• Embedding Model 25%
• Regularizer 25%
• Noisy Information 25%
• Adversarial Examples 25%
• Adversarial Perturbation 25%
• Model Robustness 25%
• Local Regularization 25%
• Graph Domain 25%
• DeepWalk 25%
• L2-norm Constraint 25%
• Global Smoothness 25%
• Discrete Graph 25%
• World Networks 25%
• Network Regularization 25%

Computer Science

• Adversarial Machine Learning 100%
• Regularization Method 75%
• Generative Adversarial Networks 50%
• Learning Process 50%
• Link Prediction 50%
• Node Classification 50%
• Network Structure 25%
• Interpretability 25%
• Generalization Performance 25%
• Embedding Space 25%
• Norm Constraint 25%
• Network Property 25%
• Adversarial Example 25%