Scalable manifold-regularized attributed network embedding via maximum mean discrepancy

Keyphrases

• Attributed Network Embedding 100%
• Attributed Networks 50%
• Between-person 25%
• Embedding Method 50%
• Graph Structure 25%
• Information Ambiguity 25%
• Information Heterogeneity 25%
• Low-dimensional Vectors 25%
• Manifold Regularization 100%
• Maximum Mean Discrepancy 100%
• Network Analysis 25%
• Network Embedding 25%
• Network Embedding Algorithm 50%
• Node Attributes 25%
• Node Proximity 25%
• Real-time Networks 25%
• Real-world Application 25%
• Regularized Network 75%
• Reproducing Kernel Hilbert Space 25%
• Spatial Dependence 50%
• Structure Information 25%
• Vector Representation 25%

Computer Science

• Dimensional Vector 50%
• Embedding Algorithm 100%
• Embedding Method 50%
• Experimental Result 50%
• Fundamental Problem 50%
• Hilbert Space 50%
• Information Loss 50%
• Reproducing Kernel 50%
• World Application 50%