Tensor decompositions for identifying directed graph topologies and tracking dynamic networks

Keyphrases

• Dynamic Networks 100%
• Partial Least Squares Structural Equation Modeling (PLS-SEM) 100%
• Tensor Decomposition 100%
• Directed Topology 100%
• Exogenous Input 66%
• Biological Systems 33%
• System Interaction 33%
• Tensor Factorization 33%
• Engineered Systems 33%
• Social Interaction 33%
• Unknown Topology 33%
• Decomposition Scheme 33%
• Complex Behavior 33%
• Microblog 33%
• Uniqueness Property 33%
• Parallel Factor Analysis 33%
• Full Knowledge 33%
• Higher-order Tensor 33%
• Network Analytics 33%
• Piecewise Stationary 33%
• Tensor-based 33%
• Real-time Operation 33%
• Directed Networks 33%
• Time-varying Networks 33%
• Topology Inference 33%
• Directional Ambiguity 33%
• Exogenous Variables 33%
• International Financial Markets 33%
• Inference Approach 33%
• Topology Identification 33%
• Parallel Factor Decomposition 33%
• Real-time Inference 33%
• Practical Setting 33%
• Stock Quotes 33%

Engineering

• Equation Model 100%
• Directional 33%
• Biological System 33%
• Mild Condition 33%
• Time Varying Networks 33%