806 citations · 7.4k across the 169 of their papers we have counts for
7 papers · 2 filters
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…
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…
Tracking Switched Dynamic Network Topologies from Information Cascades
Brian Baingana, Georgios B. Giannakis
Contagions such as the spread of popular news stories, or infectious diseases, propagate in cascades over dynamic networks with unobservable topologies. However, "social signals" s…
Kernel-based Reconstruction of Graph Signals
Daniel Romero, Meng Ma, Georgios B. Giannakis
A number of applications in engineering, social sciences, physics, and biology involve inference over networks. In this context, graph signals are widely encountered as descriptors…
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…
Solving Systems of Random Quadratic Equations via Truncated Amplitude Flow
Gang Wang, Georgios B. Giannakis, Yonina C. Eldar
This paper presents a new algorithm, termed \emph{truncated amplitude flow} (TAF), to recover an unknown vector from a system of quadratic equations of the form $y_i=|\lan…