Antonio Longa

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 24

Top Topics

Approximate Functional Dependencies

Open Source Java

Graphical Representation

Directed Acyclic

Top Venues

Publications

Nicolò Penzo, Antonio Longa, Bruno Lepri, Sara Tonelli, Marco Guerini
Putting Context in Context: the Impact of Discussion Structure on Text Classification. CoRR (2024)
Beatriz Arregui-García, Antonio Longa, Quintino Francesco Lotito, Sandro Meloni, Giulia Cencetti
Patterns in Temporal Networks with Higher-Order Egocentric Structures. Entropy 26 (3) (2024)
Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks. CoRR (2024)
Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs. CoRR (2024)
Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini, Pietro Liò
xAI-Drop: Don't Use What You Cannot Explain. CoRR (2024)
Nicolò Penzo, Antonio Longa, Bruno Lepri, Sara Tonelli, Marco Guerini
Putting Context in Context: the Impact of Discussion Structure on Text Classification. EACL (1) (2024)
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
Meta-Path Learning for Multi-relational Graph Neural Networks. CoRR (2023)
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Lio, Franco Scarselli, Andrea Passerini
Graph Neural Networks for Temporal Graphs: State of the Art, Open Challenges, and Opportunities. Trans. Mach. Learn. Res. 2023 (2023)
Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini
A Simple Latent Variable Model for Graph Learning and Inference. LoG (2023)
Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger
Meta-Path Learning for Multi-Relational Graph Neural Networks. LoG (2023)
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR (2023)
Antonio Longa, Veronica Lachi, Gabriele Santin, Monica Bianchini, Bruno Lepri, Pietro Liò, Franco Scarselli, Andrea Passerini
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities. CoRR (2023)
Peter Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani
A Unified Active Learning Framework for Annotating Graph Data with Application to Software Source Code Performance Prediction. CoRR (2023)
Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
Generating Synthetic Mobility Networks with Generative Adversarial Networks. CoRR (2022)
Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez
Emotion Analysis Using Multilayered Networks for Graphical Representation of Tweets. IEEE Access 10 (2022)
Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks. CoRR (2022)
Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini
An efficient procedure for mining egocentric temporal motifs. Data Min. Knowl. Discov. 36 (1) (2022)
Antonio Longa, Steve Azzolin, Gabriele Santin, Giulia Cencetti, Pietro Liò, Bruno Lepri, Andrea Passerini
Explaining the Explainers in Graph Neural Networks: a Comparative Study. CoRR (2022)
Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo
Generating mobility networks with generative adversarial networks. EPJ Data Sci. 11 (1) (2022)
Antonio Longa, Giulia Cencetti, Sune Lehmann, Andrea Passerini, Bruno Lepri
Neighbourhood matching creates realistic surrogate temporal networks. CoRR (2022)
Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets. CoRR (2022)
Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini
Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR (2022)
Hazem Peter Samoaa, Antonio Longa, Mazen Mohamad, Morteza Haghir Chehreghani, Philipp Leitner
TEP-GNN: Accurate Execution Time Prediction of Functional Tests Using Graph Neural Networks. PROFES (2022)
Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini
An Efficient Procedure for Mining Egocentric Temporal Motifs. CoRR (2021)