21 citations · 29 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
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,…
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…
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…