153 citations · 253 across the 21 of their papers we have counts for
4 papers · 1 filter
Signal Processing on Higher-Order Networks: Livin' on the Edge ... and Beyond
Michael T. Schaub, Yu Zhu, Jean-Baptiste Seby +2
In this tutorial, we provide a didactic treatment of the emerging topic of signal processing on higher-order networks. Drawing analogies from discrete and graph signal processing,…
Blind Inference of Eigenvector Centrality Rankings
T. Mitchell Roddenberry, Santiago Segarra
We consider the problem of estimating a network's eigenvector centrality only from data on the nodes, with no information about network topology. Leveraging the versatility of grap…
Blind Estimation of Eigenvector Centrality from Graph Signals: Beyond Low-pass Filtering
T. Mitchell Roddenberry, Santiago Segarra
This paper characterizes the difficulty of estimating a network's eigenvector centrality only from data on the nodes, i.e., with no information about the topology of the network. W…
Blind Inference of Centrality Rankings from Graph Signals
T. Mitchell Roddenberry, Santiago Segarra
We study the blind centrality ranking problem, where our goal is to infer the eigenvector centrality ranking of nodes solely from nodal observations, i.e., without information abou…