Multi-source Multi-domain Sentiment Analysis with BERT-based Models. - Gabriel Roccabruna; Steve Azzolin; Giuseppe Riccardi (LREC, 2022)

Can Emotion Carriers Explain Automatic Sentiment Prediction? A Study on Personal Narratives. - Seyed Mahed Mousavi; Gabriel Roccabruna; Aniruddha Tammewar; Steve Azzolin; Giuseppe Riccardi (WASSA@ACL, 2022)

Global Explainability of GNNs via Logic Combination of Learned Concepts. - Steve Azzolin; Antonio Longa; Pietro Barbiero; Pietro Liò; Andrea Passerini (ICLR, 2023)

A Simple Latent Variable Model for Graph Learning and Inference. - Manfred Jaeger; Antonio Longa; Steve Azzolin; Oliver Schulte; Andrea Passerini (LoG, 2023)

Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs. - Steve Azzolin; Antonio Longa; Stefano Teso; Andrea Passerini (CoRR, 2024)

Benchmarking XAI Explanations with Human-Aligned Evaluations. - Rémi Kazmierczak; Steve Azzolin; Eloïse Berthier; Anna Hedström; Patricia Delhomme; Nicolas Bousquet 001; Goran Frehse; Massimiliano Mancini; Baptiste Caramiaux; Andrea Passerini; Gianni Franchi (CoRR, 2024)

Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs. - Steve Azzolin; Antonio Longa; Stefano Teso; Andrea Passerini (ICLR, 2025)

Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective. - Steve Azzolin; Sagar Malhotra; Andrea Passerini; Stefano Teso (CoRR, 2025)

Explaining the Explainers in Graph Neural Networks: a Comparative Study. - Antonio Longa; Steve Azzolin; Gabriele Santin; Giulia Cencetti; Pietro Lio; Bruno Lepri; Andrea Passerini (ACM Comput. Surv., 2025)