385 citations · 1.8k across the 36 of their papers we have counts for
4 papers · 1 filter
Blind Demixing of Diffused Graph Signals
Fernando J. Iglesias Garcia, Santiago Segarra, Antonio G. Marques
Using graphs to model irregular information domains is an effective approach to deal with some of the intricacies of contemporary (network) data. A key aspect is how the data, repr…
Joint Inference of Multiple Graphs from Matrix Polynomials
Madeline Navarro, Yuhao Wang, Antonio G. Marques +2
Inferring graph structure from observations on the nodes is an important and popular network science task. Departing from the more common inference of a single graph and motivated…
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…
Tensor Graph Convolutional Networks for Multi-relational and Robust Learning
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
The era of "data deluge" has sparked renewed interest in graph-based learning methods and their widespread applications ranging from sociology and biology to transportation and com…