Longa, Antonio

11 publications

TMLR 2025 A Self-Explainable Heterogeneous GNN for Relational Deep Learning Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

NeurIPS 2025 Bridging Theory and Practice in Link Representation with Graph Neural Networks Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger

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

ICML 2025 Simple Path Structural Encoding for Graph Transformers Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone

LoG 2025 xAI-Drop: Don’t Use What You Cannot Explain Vincenzo Marco De Luca, Antonio Longa, Pietro Lio, Andrea Passerini

ICMLW 2024 A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini

ICMLW 2024 Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Lio

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

ICLR 2023 Global Explainability of GNNs via Logic Combination of Learned Concepts Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Lio, Andrea Passerini

TMLR 2023 Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini

LoG 2023 Meta-Path Learning for Multi-Relational Graph Neural Networks Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger