21 citations · 49 across the 10 of their papers we have counts for
6 papers · 1 filter
Reinforcement Learning for Adaptive Caching with Dynamic Storage Pricing
Alireza Sadeghi, Fatemeh Sheikholeslami, Antonio G. Marques +1
Small base stations (SBs) of fifth-generation (5G) cellular networks are envisioned to have storage devices to locally serve requests for reusable and popular contents by \emph{cac…
A Recurrent Graph Neural Network for Multi-Relational Data
Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis
The era of data deluge has sparked the interest in graph-based learning methods in a number of disciplines such as sociology, biology, neuroscience, or engineering. In this paper,…
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…
Median activation functions for graph neural networks
Luana Ruiz, Fernando Gama, Antonio G. Marques +1
Graph neural networks (GNNs) have been shown to replicate convolutional neural networks' (CNNs) superior performance in many problems involving graphs. By replacing regular convolu…
Convolutional Neural Network Architectures for Signals Supported on Graphs
Fernando Gama, Antonio G. Marques, Geert Leus +1
Two architectures that generalize convolutional neural networks (CNNs) for the processing of signals supported on graphs are introduced. We start with the selection graph neural ne…
MIMO Graph Filters for Convolutional Neural Networks
Fernando Gama, Antonio G. Marques, Alejandro Ribeiro +1
Superior performance and ease of implementation have fostered the adoption of Convolutional Neural Networks (CNNs) for a wide array of inference and reconstruction tasks. CNNs impl…