Antonio Longa

According to our database, Antonio Longa authored at least 27 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Community aware temporal network generation.

Nicolò Alessandro Girardini, Antonio Longa, Gaia Trebucchi, Giulia Cencetti, Andrea Passerini, Bruno Lepri

Appl. Netw. Sci., December, 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, July, 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, June, 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., May, 2025

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants.

Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani, Antonio Longa

CoRR, May, 2025

Boosting Relational Deep Learning with Pretrained Tabular Models.

Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro

CoRR, April, 2025

Simple Path Structural Encoding for Graph Transformers.

Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone

CoRR, February, 2025

A Self-Explainable Heterogeneous GNN for Relational Deep Learning.

Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

Trans. Mach. Learn. Res., 2025

Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.

Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Patterns in Temporal Networks with Higher-Order Egocentric Structures.

Beatriz Arregui-García, Antonio Longa, Quintino Francesco Lotito, Sandro Meloni, Giulia Cencetti

Entropy, March, 2024

A unified active learning framework for annotating graph data for regression tasks.

Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani

Eng. Appl. Artif. Intell., 2024

Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.

Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini

CoRR, 2024

Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks.

Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani

CoRR, 2024

xAI-Drop: Don't Use What You Cannot Explain.

Vincenzo Marco De Luca, Antonio Longa, Pietro Lio, Andrea Passerini

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Putting Context in Context: the Impact of Discussion Structure on Text Classification.

Nicolò Penzo, Antonio Longa, Bruno Lepri, Sara Tonelli, Marco Guerini

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

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

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, Morteza Haghir Chehreghani

CoRR, 2023

A Simple Latent Variable Model for Graph Learning and Inference.

Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Meta-Path Learning for Multi-Relational Graph Neural Networks.

Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger

Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

Global Explainability of GNNs via Logic Combination of Learned Concepts.

Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Generating mobility networks with generative adversarial networks.

Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo

EPJ Data Sci., 2022

An efficient procedure for mining egocentric temporal motifs.

Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini

Data Min. Knowl. Discov., 2022

Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets.

Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez

CoRR, 2022

Neighbourhood matching creates realistic surrogate temporal networks.

Antonio Longa, Giulia Cencetti, Sune Lehmann, Andrea Passerini, Bruno Lepri

CoRR, 2022

Generating Synthetic Mobility Networks with Generative Adversarial Networks.

Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo

CoRR, 2022

Emotion Analysis Using Multilayered Networks for Graphical Representation of Tweets.

Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez

IEEE Access, 2022

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

Proceedings of the Product-Focused Software Process Improvement, 2022