Panisson, Andre

10 publications

ECML-PKDD 2025 A True-to-the-Model Benchmark for Edge-Level Attributions of GNN Explainers Francesco Paolo Nerini, Francesco Bonchi, André Panisson

TMLR 2025 Disentangled and Self-Explainable Node Representation Learning Simone Piaggesi, André Panisson, Megha Khosla

NeurIPS 2025 Learning Individual Behavior in Agent-Based Models with Graph Diffusion Networks Francesco Cozzi, Marco Pangallo, Alan Perotti, André Panisson, Corrado Monti

ECML-PKDD 2025 Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction Claudio Moroni, Claudio Borile, Carolina Mattsson, Michele Starnini, André Panisson

NeurIPS 2025 Size-Adaptive Hypothesis Testing for Fairness Antonio Ferrara, Francesco Cozzi, Alan Perotti, André Panisson, Francesco Bonchi

TMLR 2024 A True-to-the-Model Axiomatic Benchmark for Graph-Based Explainers Corrado Monti, Paolo Bajardi, Francesco Bonchi, André Panisson, Alan Perotti

ALT 2024 Adversarial Online Collaborative Filtering Stephen Pasteris, Fabio Vitale, Mark Herbster, Claudio Gentile, Andre Panisson

LoG 2022 Effective Higher-Order Link Prediction and Reconstruction from Simplicial Complex Embeddings Simone Piaggesi, André Panisson, Giovanni Petri

ECML-PKDD 2021 Smurf-Based Anti-Money Laundering in Time-Evolving Transaction Networks Michele Starnini, Charalampos E. Tsourakakis, Maryam Zamanipour, André Panisson, Walter Allasia, Marco Fornasiero, Laura Li Puma, Valeria Ricci, Silvia Ronchiadin, Angela Ugrinoska, Marco Varetto, Dario Moncalvo

CVPRW 2019 Predicting City Poverty Using Satellite Imagery Simone Piaggesi, Laetitia Gauvin, Michele Tizzoni, Ciro Cattuto, Natalia Adler, Stefaan Verhulst, Andrew Young, Rhiannan Price, Leo Ferres, André Panisson