8 citations · 12 across the 9 of their papers we have counts for
8 papers · 1 filter
Dual-based Online Learning of Dynamic Network Topologies
Seyed Saman Saboksayr, Gonzalo Mateos
We investigate online network topology identification from smooth nodal observations acquired in a streaming fashion. Different from non-adaptive batch solutions, our distinctive g…
Online Discriminative Graph Learning from Multi-Class Smooth Signals
Seyed Saman Saboksayr, Gonzalo Mateos, Mujdat Cetin
Graph signal processing (GSP) is a key tool for satisfying the growing demand for information processing over networks. However, the success of GSP in downstream learning and infer…
Signal Processing on Directed Graphs
Antonio G. Marques, Santiago Segarra, Gonzalo Mateos
This paper provides an overview of the current landscape of signal processing (SP) on directed graphs (digraphs). Directionality is inherent to many real-world (information, transp…
Online Topology Inference from Streaming Stationary Graph Signals with Partial Connectivity Information
Rasoul Shafipour, Gonzalo Mateos
We develop online graph learning algorithms from streaming network data. Our goal is to track the (possibly) time-varying network topology, and effect memory and computational savi…
Connecting the Dots: Identifying Network Structure via Graph Signal Processing
Gonzalo Mateos, Santiago Segarra, Antonio G. Marques +1
Network topology inference is a prominent problem in Network Science. Most graph signal processing (GSP) efforts to date assume that the underlying network is known, and then analy…
A Novel Scheme for Support Identification and Iterative Sampling of Bandlimited Graph Signals
Abolfazl Hashemi, Rasoul Shafipour, Haris Vikalo +1
We study the problem of sampling and reconstruction of bandlimited graph signals where the objective is to select a node subset of prescribed cardinality that ensures interpolation…