Pubblicazioni

gRNAde: A Geometric Deep Learning Pipeline for 3D RNA Inverse Design

2025 - Methods in Molecular Biology
Joshi, C. K.; Lio, P.

PNMLR: Enhancing Route Recommendations With Personalized Preferences Using Graph Attention Networks

2025 - IEEE ACCESS
Ponzi, V.; Comito, L.; Napoli, C.

About Latent Roles in Forecasting Players in Team Sports

2024 - NEURAL PROCESSING LETTERS
Scofano, Luca; Sampieri, Alessio; Re, Giuseppe; Almanza, Matteo; Panconesi, Alessandro; Galasso, Fabio

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation

2024 - ACM COMPUTING SURVEYS
Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.; Giannotti, F.

From latent graph to latent topology inference: differentiable cell complex module

2024 - International conference on learning representations - Proceedings (ICLR 2024)
Battiloro, C.; Spinelli, I.; Telyatnikov, L.; Bronstein, M.; Scardapane, S.; Di Lorenzo, P.

Robust Stochastic Graph Generator for Counterfactual Explanations

2024 - Proceedings of the AAAI Conference on Artificial Intelligence
Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.

KGUF: Simple Knowledge-Aware Graph-Based Recommender with User-Based Semantic Features Filtering

2024 - Advances on Graph-Based Approaches in Information Retrieval. First International Workshop, IRonGraphs 2024, Glasgow, UK, March 24, 2024. Proceedings
Bufi, Salvatore; Mancino, ALBERTO CARLO MARIA; Ferrara, Antonio; Malitesta, Daniele; Di Noia, Tommaso; Di Sciascio, Eugenio

Mitigating Extreme Cold Start in Graph-based RecSys through Re-ranking

2024 - CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
Sbandi, Alessandro; Siciliano, Federico; Silvestri, Fabrizio

How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-smoothing, and Over-squashing

2024 - Proceedings of Machine Learning Research
Huang, K.; Wang, Y. G.; Li, M.; Lio, P.

Evaluating Representation Learning on the Protein Structure Universe

2024 - 12th International Conference on Learning Representations, ICLR 2024
Jamasb, A. R.; Morehead, A.; Joshi, C. K.; Zhang, Z.; Didi, K.; Mathis, S.; Harris, C.; Tang, J.; Cheng, J.; Lio, P.; Blundell, T. L.

GNN4IFA: Interest Flooding Attack Detection with Graph Neural Networks

2023 - IEEE 8th European Symposium on Security and Privacy (EuroS&P)
Agiollo, Andrea; Bardhi, Enkeleda; Conti, Mauro; Lazzeretti, Riccardo; Losiouk, Eleonora; Omicini, Andrea

Learning characteristics of graph neural networks predicting protein–ligand affinities

2023 - NATURE MACHINE INTELLIGENCE
Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen

Facing Graph Classification Problems by a Multi-agent Information Granulation Approach

2023 - Computational intelligence
DE SANTIS, Enrico; Granato, Giuseppe; Rizzi, Antonello

Developing and Evaluating Graph Counterfactual Explanation with GRETEL

2023 - WSDM 2023 - Proceedings of the 16th ACM International Conference on Web Search and Data Mining
Prado-Romero, M. A.; Prenkaj, B.; Stilo, G.

EGG-GAE: scalable graph neural networks for tabular data imputation

2023 - International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain
Telyatnikov, L.; Scardapane, S.

Concept Distillation in Graph Neural Networks

2023 - World Conference on Explainable Artificial Intelligence
Charlotte Magister, Lucie; Barbiero, Pietro; Kazhdan, Dmitry; Siciliano, Federico; Ciravegna, Gabriele; Silvestri, Fabrizio; Jamnik, Mateja; Liò, Pietro

Combining Stochastic Explainers and Subgraph Neural Networks can Increase Expressivity and Interpretability

2023 - ESANN 2023- Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Spinelli, Indro; Guerra, Michele; Bianchi, Filippo Maria; Scardapane, Simone

Three Iterations of (d − 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points

2023 - Advances in Neural Information Processing Systems
DELLE ROSE, Valentino; Kozachinskiy, Alexander; Rojas, Cristobal; Petrache, MIRCEA ALEXANDRU; Barceló, Pablo

Semi-mind controlled robots based on Reinforcement Learning for Indoor Application

2023 - Proceedings of the 8th International Conference of Yearly Reports on Informatics, Mathematics, and Engineering.
Naidji, I.; Tibermacine, A.; Guettala, W.; Tibermacine, I. E.

Modular Multi-Source Prediction of Drug Side-Effects with DruGNN

2023 - IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
Bongini, P.; Scarselli, F.; Bianchini, M.; Dimitri, G. M.; Pancino, N.; Lio, P.

Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis

2023 - Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023
Xuanyuan, H.; Barbiero, P.; Georgiev, D.; Magister, L. C.; Lio, P.

On the Expressive Power of Geometric Graph Neural Networks

2023 - Proceedings of Machine Learning Research
Joshi, C. K.; Bodnar, C.; Mathis, S. V.; Cohen, T.; Lio, P.

EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks

2022 - ISCIENCE
Mastropietro, Andrea; Pasculli, Giuseppe; Feldmann, Christian; Rodríguezpérez, Raquel; Bajorath, Jürgen

Local and Global Triple Embedding Network

2022 - The Semantic Web – ISWC 2022
Pirro', Giuseppe

Graph-Based Multi-Label Classification for WiFi Network Traffic Analysis

2022 - APPLIED SCIENCES
Granato, Giuseppe; Martino, Alessio; Baiocchi, Andrea; Rizzi, Antonello

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