Dynamic structural equation models for tracking topologies of social networksy. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (CAMSAP, 2013)

Identifiability of sparse structural equation models for directed and cyclic networks. - Juan Andrés Bazerque; Brian Baingana; Georgios B. Giannakis (GlobalSIP, 2013)

Centrality-constrained graph embedding. - Brian Baingana; Georgios B. Giannakis (ICASSP, 2013)

Dynamic Structural Equation Models for Social Network Topology Inference. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (CoRR, 2013)

Tracking anomalous community memberships in time-varying networks. - Brian Baingana; Georgios B. Giannakis (GlobalSIP, 2014)

A proximal gradient algorithm for tracking cascades over networks. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2014)

Proximal-Gradient Algorithms for Tracking Cascades Over Social Networks. - Brian Baingana; Gonzalo Mateos; Georgios B. Giannakis (IEEE J. Sel. Top. Signal Process., 2014)

Robust kriged Kalman filtering. - Brian Baingana; Emiliano Dall'Anese; Gonzalo Mateos; Georgios B. Giannakis (ACSSC, 2015)

Dynamic and decentralized learning of overlapping network communities. - Brian Baingana; Georgios B. Giannakis (CAMSAP, 2015)

Switched dynamic structural equation models for tracking social network topologies. - Brian Baingana; Georgios B. Giannakis (GlobalSIP, 2015)

Kernel-based embeddings for large graphs with centrality constraints. - Brian Baingana; Georgios B. Giannakis (ICASSP, 2015)

Inferring directed network topologies via tensor factorization. - Yanning Shen; Brian Baingana; Georgios B. Giannakis (ACSSC, 2016)

Nonlinear structural equation models for network topology inference. - Yanning Shen; Brian Baingana; Georgios B. Giannakis (CISS, 2016)

Egonet tensor decomposition for community identification. - Fatemeh Sheikholeslami; Brian Baingana; Georgios B. Giannakis; Nikolas D. Sidiropoulos (GlobalSIP, 2016)

Tracking dynamic piecewise-constant network topologies via adaptive tensor factorization. - Yanning Shen; Brian Baingana; Georgios B. Giannakis (GlobalSIP, 2016)

Joint Community and Anomaly Tracking in Dynamic Networks. - Brian Baingana; Georgios B. Giannakis (IEEE Trans. Signal Process., 2016)

Topology inference of directed graphs using nonlinear structural vector autoregressive models. - Yanning Shen; Brian Baingana; Georgios B. Giannakis (ICASSP, 2017)

Tracking Switched Dynamic Network Topologies From Information Cascades. - Brian Baingana; Georgios B. Giannakis (IEEE Trans. Signal Process., 2017)

Kernel-Based Structural Equation Models for Topology Identification of Directed Networks. - Yanning Shen; Brian Baingana; Georgios B. Giannakis (IEEE Trans. Signal Process., 2017)

Tensor Decompositions for Identifying Directed Graph Topologies and Tracking Dynamic Networks. - Yanning Shen; Brian Baingana; Georgios B. Giannakis (IEEE Trans. Signal Process., 2017)

Nonlinear Structural Vector Autoregressive Models With Application to Directed Brain Networks. - Yanning Shen; Georgios B. Giannakis; Brian Baingana (IEEE Trans. Signal Process., 2019)