Deep Generative Models for Node Embedding and Neighborhood Prediction in Dynamic Graphs of Recommendation Systems

Keyphrases

• Generative Models 100%
• Deep Generative Models 100%
• Recommendation System 100%
• Dynamic Graph 100%
• Node Embedding 100%
• Node Neighborhood 100%
• Neighborhood Prediction 100%
• Graph Neural Network 66%
• Autoencoder 66%
• Generative Adversarial Networks 33%
• Mean Square Error 33%
• Error Value 33%
• Graph Knowledge 33%
• Cosine Similarity 33%
• Initial Graph 33%
• Node Features 33%
• Graph Datasets 33%
• Customized Loss Function 33%
• Error Comparison 33%
• Graph Reconstruction 33%
• Real-world Graphs 33%
• Generative Adversarial Networks Models 33%
• Similarity Metric 33%
• Reference Embedding 33%
• Full Graphs 33%

Computer Science

• Generative Model 100%
• Deep Generative Model 100%
• Node Embedding 100%
• Generative Adversarial Networks 66%
• Autoencoder 66%
• Graph Neural Network 66%
• Regularization 33%
• Cosine Similarity 33%
• Knowledge Graph 33%