98 citations · 285 across the 8 of their papers we have counts for
8 papers
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.…
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 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…
Joint community and anomaly tracking in dynamic networks
Brian Baingana, Georgios B. Giannakis
Most real-world networks exhibit community structure, a phenomenon characterized by existence of node clusters whose intra-edge connectivity is stronger than edge connectivities be…
Embedding Graphs under Centrality Constraints for Network Visualization
Brian Baingana, Georgios B. Giannakis
Visual rendering of graphs is a key task in the mapping of complex network data. Although most graph drawing algorithms emphasize aesthetic appeal, certain applications such as tra…
Dynamic Structural Equation Models for Social Network Topology Inference
Brian Baingana, Gonzalo Mateos, Georgios B. Giannakis
Many real-world processes evolve in cascades over complex networks, whose topologies are often unobservable and change over time. However, the so-termed adoption times when blogs m…
Centrality-constrained graph embedding
Brian Baingana, Georgios B. Giannakis
Visual rendering of graphs is a key task in the mapping of complex network data. Although most graph drawing algorithms emphasize aesthetic appeal, certain applications such as tra…