Topology identification and learning over graphs: Accounting for nonlinearities and dynamics

GB Giannakis, Y Shen… - Proceedings of the …, 2018 - ieeexplore.ieee.org
Identifying graph topologies as well as processes evolving over graphs emerge in various
applications involving gene-regulatory, brain, power, and social networks, to name a few …

Autoregressive graph Volterra models and applications

Q Yang, M Coutino, G Leus, GB Giannakis - EURASIP Journal on …, 2023 - Springer
Graph-based learning and estimation are fundamental problems in various applications
involving power, social, and brain networks, to name a few. While learning pair-wise …

Local topology inference of mobile robotic networks under formation control

Y Li, J He, L Cai, X Guan - IEEE Transactions on Automatic …, 2023 - ieeexplore.ieee.org
The interaction topology is critical for efficient cooperation of mobile robotic networks
(MRNs). We focus on the local topology inference problem of MRNs under formation control …

Self-driven graph volterra models for higher-order link prediction

M Coutino, GV Karanikolas, G Leus… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Link prediction is one of the core problems in network and data science with widespread
applications. While predicting pairwise nodal interactions (links) in network data has been …

Topology inference for networked dynamical systems: A causality and correlation perspective

Y Li, J He - 2021 60th IEEE Conference on Decision and …, 2021 - ieeexplore.ieee.org
Networked dynamical systems (NDSs) have gained considerable attention in recent years,
where the networked agents cooperate to accomplish the common task through the …

I can read your mind: Control mechanism secrecy of networked dynamical systems under inference attacks

J He, Y Li, L Cai, X Guan - arXiv preprint arXiv:2205.03556, 2022 - arxiv.org
Recent years have witnessed the fast advance of security research for networked dynamical
system (NDS). Considering the latest inference attacks that enable stealthy and precise …