31 citations · 55 across the 5 of their papers we have counts for
5 papers
Neural Embeddings for Protein Graphs
Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden +1
Proteins perform much of the work in living organisms, and consequently the development of efficient computational methods for protein representation is essential for advancing lar…
CIN++: Enhancing Topological Message Passing
Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli +2
Graph Neural Networks (GNNs) have demonstrated remarkable success in learning from graph-structured data. However, they face significant limitations in expressive power, struggling…
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology
Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero +3
Message Passing Neural Networks (MPNNs) are instances of Graph Neural Networks that leverage the graph to send messages over the edges. This inductive bias leads to a phenomenon kn…
MaRF: Representing Mars as Neural Radiance Fields
Lorenzo Giusti, Josue Garcia, Steven Cozine +3
The aim of this work is to introduce MaRF, a novel framework able to synthesize the Martian environment using several collections of images from rover cameras. The idea is to gener…
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…