activity
20212025
most citedCell Attention Networks

22 citations · 24 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2025

VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks

Francesco Madeddu, Lucia Testa, Gianluca De Carlo +5

The intrinsic complexity of human biology presents ongoing challenges to scientific understanding. Researchers collaborate across disciplines to expand our knowledge of the biologi…

cs.DM2024

Robust Filter Design for Graph Signals

Lucia Testa, Stefania Sardellitti, Sergio Barbarossa

Our goal in this paper is the robust design of filters acting on signals observed over graphs subject to small perturbations of their edges. The focus is on developing a method to…

cs.LG2023

Stability of Graph Convolutional Neural Networks through the lens of small perturbation analysis

Lucia Testa, Claudio Battiloro, Stefania Sardellitti +1

In this work, we study the problem of stability of Graph Convolutional Neural Networks (GCNs) under random small perturbations in the underlying graph topology, i.e. under a limite…

cs.LG2023

ICML 2023 Topological Deep Learning Challenge : Design and Results

Mathilde Papillon, Mustafa Hajij, Helen Jenne +53

This paper presents the computational challenge on topological deep learning that was hosted within the ICML 2023 Workshop on Topology and Geometry in Machine Learning. The competi…

cs.LG2023★ 2 cited

Generalized Simplicial Attention Neural Networks

Claudio Battiloro, Lucia Testa, Lorenzo Giusti +3

Graph machine learning methods excel at leveraging pairwise relations present in the data. However, graphs are unable to fully capture the multi-way interactions inherent in many c…

cs.LG2022★ 22 cited

Cell Attention Networks

Lorenzo Giusti, Claudio Battiloro, Lucia Testa +3

Since their introduction, graph attention networks achieved outstanding results in graph representation learning tasks. However, these networks consider only pairwise relationships…

eess.SP2021

Topological Signal Processing over Cell Complexes

Stefania Sardellitti, Sergio Barbarossa, Lucia Testa

The Topological Signal Processing (TSP) framework has been recently developed to analyze signals defined over simplicial complexes, i.e. topological spaces represented by finite se…