Antonio Longa

42 papers A* 3B 1Journal 32Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants.
J. Data-centric Mach. Learn. Res.
Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani, Antonio Longa
2026 J jnl
Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution.
CoRR
Francesco Ferrini, Veronica Lachi, Antonio Longa, Bruno Lepri, Akiyoshi Matono, Andrea Passerini, Xin Liu, Manfred Jaeger
2025 J jnl
A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants.
CoRR
Peter Samoaa, Marcus Vukojevic, Morteza Haghir Chehreghani, Antonio Longa
2025 J jnl
A Self-Explainable Heterogeneous GNN for Relational Deep Learning.
Trans. Mach. Learn. Res.
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2025 J jnl
Boosting Relational Deep Learning with Pretrained Tabular Models.
CoRR
Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro
2025 J jnl
Bridging Theory and Practice in Link Representation with Graph Neural Networks.
CoRR
Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini, Manfred Jaeger
2025 J jnl
Community Aware Temporal Network Generation.
CoRR
Nicolò Alessandro Girardini, Antonio Longa, Gaia Trebucchi, Giulia Cencetti, Andrea Passerini, Bruno Lepri
2025 J jnl
Community aware temporal network generation.
Appl. Netw. Sci.
Nicolò Alessandro Girardini, Antonio Longa, Gaia Trebucchi, Giulia Cencetti, Andrea Passerini, Bruno Lepri
2025 J jnl
Explaining the Explainers in Graph Neural Networks: a Comparative Study.
ACM Comput. Surv.
Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Lio, Bruno Lepri, Andrea Passerini
2025 J jnl
GNNs Meet Sequence Models Along the Shortest-Path: an Expressive Method for Link Prediction.
CoRR
Francesco Ferrini, Veronica Lachi, Antonio Longa, Bruno Lepri, Andrea Passerini
2025 A* conf
Reconsidering Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.
ICLR
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
2025 A* conf
Simple Path Structural Encoding for Graph Transformers.
ICML
Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone
2025 J jnl
Simple Path Structural Encoding for Graph Transformers.
CoRR
Louis Airale, Antonio Longa, Mattia Rigon, Andrea Passerini, Roberto Passerone
2024 J jnl
A Self-Explainable Heterogeneous GNN for Relational Deep Learning.
CoRR
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2024 — conf
A Simple and Expressive Graph Neural Network Based Method for Structural Link Representation.
GRaM
Veronica Lachi, Francesco Ferrini, Antonio Longa, Bruno Lepri, Andrea Passerini
2024 J jnl
A unified active learning framework for annotating graph data for regression tasks.
Eng. Appl. Artif. Intell.
Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2024 J jnl
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks.
CoRR
Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2024 J jnl
Patterns in Temporal Networks with Higher-Order Egocentric Structures.
Entropy
Beatriz Arregui-García, Antonio Longa, Quintino Francesco Lotito, Sandro Meloni, Giulia Cencetti
2024 J jnl
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs.
CoRR
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
2024 — conf
Putting Context in Context: the Impact of Discussion Structure on Text Classification.
EACL (1)
Nicolò Penzo, Antonio Longa, Bruno Lepri, Sara Tonelli, Marco Guerini
2024 J jnl
Putting Context in Context: the Impact of Discussion Structure on Text Classification.
CoRR
Nicolò Penzo, Antonio Longa, Bruno Lepri, Sara Tonelli, Marco Guerini
2024 — conf
Sheaf Diffusion Goes Nonlinear: Enhancing GNNs with Adaptive Sheaf Laplacians.
GRaM
Olga Zaghen, Antonio Longa, Steve Azzolin, Lev Telyatnikov, Andrea Passerini, Pietro Liò
2024 — conf
xAI-Drop: Don't Use What You Cannot Explain.
LoG
Vincenzo Marco De Luca, Antonio Longa, Pietro Lio, Andrea Passerini
2024 J jnl
xAI-Drop: Don't Use What You Cannot Explain.
CoRR
Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini, Pietro Liò
2023 — conf
A Simple Latent Variable Model for Graph Learning and Inference.
LoG
Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
2023 J jnl
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction.
CoRR
Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
2023 A* conf
Global Explainability of GNNs via Logic Combination of Learned Concepts.
ICLR
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
2023 J jnl
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities.
Trans. Mach. Learn. Res.
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
2023 J jnl
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities.
CoRR
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
2023 — conf
Meta-Path Learning for Multi-Relational Graph Neural Networks.
LoG
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2023 J jnl
Meta-Path Learning for Multi-relational Graph Neural Networks.
CoRR
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
2022 J jnl
An efficient procedure for mining egocentric temporal motifs.
Data Min. Knowl. Discov.
Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini
2022 J jnl
Emotion Analysis Using Multilayered Networks for Graphical Representation of Tweets.
IEEE Access
Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez
2022 J jnl
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets.
CoRR
Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez
2022 J jnl
Explaining the Explainers in Graph Neural Networks: a Comparative Study.
CoRR
Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini
2022 J jnl
Generating Synthetic Mobility Networks with Generative Adversarial Networks.
CoRR
Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
2022 J jnl
Generating mobility networks with generative adversarial networks.
EPJ Data Sci.
Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
2022 J jnl
Global Explainability of GNNs via Logic Combination of Learned Concepts.
CoRR
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
2022 J jnl
Neighbourhood matching creates realistic surrogate temporal networks.
CoRR
Antonio Longa, Giulia Cencetti, Sune Lehmann, Andrea Passerini, Bruno Lepri
2022 B conf
TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks.
PROFES
Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner
2022 J jnl
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks.
CoRR
Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner
2021 J jnl
An Efficient Procedure for Mining Egocentric Temporal Motifs.
CoRR
Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini