Lorenzo Giusti

According to our database1, Lorenzo Giusti authored at least 16 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Generalized Simplicial Attention Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2024

Federated GNNs for EEG-Based Stroke Assessment.
CoRR, 2024

Topological Neural Networks: Mitigating the Bottlenecks of Graph Neural Networks via Higher-Order Interactions.
CoRR, 2024

Explainable Vision Transformers for Vein Biometric Recognition.
IEEE Access, 2024

Topological Message Passing for Higher - Order and Long - Range Interactions.
Proceedings of the International Joint Conference on Neural Networks, 2024

Integrating Structure and Sequence: Protein Graph Embeddings via GNNs and LLMs.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Feasibility Analysis of Federated Neural Networks for Explainable Detection of Atrial Fibrillation.
Proceedings of the IEEE International Conference on E-health Networking, 2024

A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers.
Proceedings of the IEEE International Conference on E-health Networking, 2024

Towards Explainable Graph Neural Networks for Neurological Evaluation on EEG Signals.
Proceedings of the IEEE International Conference on E-health Networking, 2024

2023
Neural Embeddings for Protein Graphs.
CoRR, 2023

CIN++: Enhancing Topological Message Passing.
CoRR, 2023

Cell Attention Networks.
Proceedings of the International Joint Conference on Neural Networks, 2023

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology.
Proceedings of the International Conference on Machine Learning, 2023

2022
Simplicial Attention Neural Networks.
CoRR, 2022

Graph Convolutional Networks With Autoencoder-Based Compression And Multi-Layer Graph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

MaRF: Representing Mars as Neural Radiance Fields.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022


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