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Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Directed networks are pervasive both in nature and engineered systems, often underlying the complex behavior observed in biological systems, microblogs and social interactions over…
Nonlinear Structural Vector Autoregressive Models for Inferring Effective Brain Network Connectivity
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Structural equation models (SEMs) and vector autoregressive models (VARMs) are two broad families of approaches that have been shown useful in effective brain connectivity studies.…
Online Categorical Subspace Learning for Sketching Big Data with Misses
Yanning Shen, Morteza Mardani, Georgios B. Giannakis
With the scale of data growing every day, reducing the dimensionality (a.k.a. sketching) of high-dimensional data has emerged as a task of paramount importance. Relevant issues to…
Kernel-Based Structural Equation Models for Topology Identification of Directed Networks
Yanning Shen, Brian Baingana, Georgios B. Giannakis
Structural equation models (SEMs) have been widely adopted for inference of causal interactions in complex networks. Recent examples include unveiling topologies of hidden causal n…