TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks. - Hazem Peter Samoaa; Antonio Longa; Mazen Mohamad; Morteza Haghir Chehreghani; Philipp Leitner 001 (PROFES, 2022)

Emotion Analysis Using Multilayered Networks for Graphical Representation of Tweets. - Anna Nguyen; Antonio Longa; Massimiliano Luca; Joe Kaul; Gabriel Lopez (IEEE Access, 2022)

Generating Synthetic Mobility Networks with Generative Adversarial Networks. - Giovanni Mauro; Massimiliano Luca; Antonio Longa; Bruno Lepri; Luca Pappalardo (CoRR, 2022)

Neighbourhood matching creates realistic surrogate temporal networks. - Antonio Longa; Giulia Cencetti; Sune Lehmann; Andrea Passerini; Bruno Lepri (CoRR, 2022)

Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets. - Anna Nguyen; Antonio Longa; Massimiliano Luca; Joe Kaul; Gabriel Lopez (CoRR, 2022)

An efficient procedure for mining egocentric temporal motifs. - Antonio Longa; Giulia Cencetti; Bruno Lepri; Andrea Passerini (Data Min. Knowl. Discov., 2022)

Generating mobility networks with generative adversarial networks. - Giovanni Mauro; Massimiliano Luca; Antonio Longa; Bruno Lepri; Luca Pappalardo (EPJ Data Sci., 2022)

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

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

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

A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction. - Peter Samoaa; Linus Aronsson; Antonio Longa; Philipp Leitner 001; Morteza Haghir Chehreghani (CoRR, 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 (Trans. Mach. Learn. Res., 2023)

Putting Context in Context: the Impact of Discussion Structure on Text Classification. - Nicolò Penzo; Antonio Longa; Bruno Lepri; Sara Tonelli; Marco Guerini (EACL (1), 2024)

xAI-Drop: Don't Use What You Cannot Explain. - Vincenzo Marco De Luca; Antonio Longa; Pietro Lio; Andrea Passerini (LoG, 2024)

Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks. - Peter Samoaa; Mehrdad Farahani; Antonio Longa; Philipp Leitner 001; Morteza Haghir Chehreghani (CoRR, 2024)

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

A unified active learning framework for annotating graph data for regression tasks. - Peter Samoaa; Linus Aronsson; Antonio Longa; Philipp Leitner 001; Morteza Haghir Chehreghani (Eng. Appl. Artif. Intell., 2024)

Patterns in Temporal Networks with Higher-Order Egocentric Structures. - Beatriz Arregui-García; Antonio Longa; Quintino Francesco Lotito; Sandro Meloni; Giulia Cencetti (Entropy, 2024)

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

A Self-Explainable Heterogeneous GNN for Relational Deep Learning. - Francesco Ferrini; Antonio Longa; Andrea Passerini; Manfred Jaeger (Trans. Mach. Learn. Res., 2025)

Community Aware Temporal Network Generation. - Nicolò Alessandro Girardini; Antonio Longa; Gaia Trebucchi; Giulia Cencetti; Andrea Passerini; Bruno Lepri (CoRR, 2025)

Simple Path Structural Encoding for Graph Transformers. - Louis Airale; Antonio Longa; Mattia Rigon; Andrea Passerini; Roberto Passerone (CoRR, 2025)

Boosting Relational Deep Learning with Pretrained Tabular Models. - Veronica Lachi; Antonio Longa; Beatrice Bevilacqua; Bruno Lepri; Andrea Passerini; Bruno Ribeiro 001 (CoRR, 2025)

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants. - Peter Samoaa; Marcus Vukojevic; Morteza Haghir Chehreghani; Antonio Longa (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)

Bridging Theory and Practice in Link Representation with Graph Neural Networks. - Veronica Lachi; Francesco Ferrini; Antonio Longa; Bruno Lepri; Andrea Passerini; Manfred Jaeger (CoRR, 2025)

GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction. - Francesco Ferrini; Veronica Lachi; Antonio Longa; Bruno Lepri; Andrea Passerini (CoRR, 2025)