8 papers
Graph-Adaptive Activation Functions for Graph Neural Networks
Bianca Iancu, Luana Ruiz, Alejandro Ribeiro +1
Activation functions are crucial in graph neural networks (GNNs) as they allow defining a nonlinear family of functions to capture the relationship between the input graph data and…
Forecasting Multi-Dimensional Processes over Graphs
Alberto Natali, Elvin Isufi, Geert Leus
The forecasting of multi-variate time processes through graph-based techniques has recently been addressed under the graph signal processing framework. However, problems in the rep…
Quantization Analysis and Robust Design for Distributed Graph Filters
Leila Ben Saad, Baltasar Beferull-Lozano, Elvin Isufi
Distributed graph filters have found applications in wireless sensor networks (WSNs) to solve distributed tasks such as consensus, signal denoising, and reconstruction. However, wh…
State-Space Based Network Topology Identification
Mario Coutino, Elvin Isufi, Takanori Maehara +1
In this work, we explore the state-space formulation of network processes to recover the underlying structure of the network (local connections). To do so, we employ subspace techn…
Graph-Time Spectral Analysis for Atrial Fibrillation
Miao Sun, Elvin Isufi, Natasja M. S. de Groot +1
Atrial fibrillation is a clinical arrhythmia with multifactorial mechanisms still unresolved. Time-frequency analysis of epicardial electrograms has been investigated to study atri…
State-Space Network Topology Identification from Partial Observations
Mario Coutino, Elvin Isufi, Takanori Maehara +1
In this work, we explore the state-space formulation of a network process to recover, from partial observations, the underlying network topology that drives its dynamics. To do so,…