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Journal Articles
- 2024
[j6]Peter Samoaa, Linus Aronsson, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani:
A unified active learning framework for annotating graph data for regression tasks. Eng. Appl. Artif. Intell. 138: 109383 (2024)- [j5]Beatriz Arregui-García
, Antonio Longa, Quintino Francesco Lotito, Sandro Meloni, Giulia Cencetti:
Patterns in Temporal Networks with Higher-Order Egocentric Structures. Entropy 26(3): 256 (2024) - 2023
- [j4]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) - 2022
- [j3]Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez:
Emotion Analysis Using Multilayered Networks for Graphical Representation of Tweets. IEEE Access 10: 99467-99478 (2022) - [j2]Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini:
An efficient procedure for mining egocentric temporal motifs. Data Min. Knowl. Discov. 36(1): 355-378 (2022) - [j1]Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo:
Generating mobility networks with generative adversarial networks. EPJ Data Sci. 11(1): 58 (2022)
Conference and Workshop Papers
- 2024
- [c5]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: 1793-1811 - 2023
- [c4]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. ICLR 2023 - [c3]Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger:
Meta-Path Learning for Multi-Relational Graph Neural Networks. LoG 2023: 2 - [c2]Manfred Jaeger, Antonio Longa, Steve Azzolin, Oliver Schulte, Andrea Passerini:
A Simple Latent Variable Model for Graph Learning and Inference. LoG 2023: 26 - 2022
- [c1]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: 464-479
Informal and Other Publications
- 2024
- [i14]Nicolò Penzo, Antonio Longa, Bruno Lepri, Sara Tonelli, Marco Guerini:
Putting Context in Context: the Impact of Discussion Structure on Text Classification. CoRR abs/2402.02975 (2024) - [i13]Peter Samoaa, Mehrdad Farahani, Antonio Longa, Philipp Leitner, Morteza Haghir Chehreghani:
Analysing the Behaviour of Tree-Based Neural Networks in Regression Tasks. CoRR abs/2406.11437 (2024) - [i12]Steve Azzolin, Antonio Longa, Stefano Teso, Andrea Passerini:
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs. CoRR abs/2406.15156 (2024) - [i11]Vincenzo Marco De Luca, Antonio Longa, Andrea Passerini, Pietro Liò:
xAI-Drop: Don't Use What You Cannot Explain. CoRR abs/2407.20067 (2024) - 2023
- [i10]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 abs/2302.01018 (2023) - [i9]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 abs/2304.13032 (2023) - [i8]Francesco Ferrini, Antonio Longa, Andrea Passerini, Manfred Jaeger:
Meta-Path Learning for Multi-relational Graph Neural Networks. CoRR abs/2309.17113 (2023) - 2022
- [i7]Giovanni Mauro, Massimiliano Luca, Antonio Longa, Bruno Lepri, Luca Pappalardo:
Generating Synthetic Mobility Networks with Generative Adversarial Networks. CoRR abs/2202.11028 (2022) - [i6]Antonio Longa, Giulia Cencetti, Sune Lehmann, Andrea Passerini, Bruno Lepri:
Neighbourhood matching creates realistic surrogate temporal networks. CoRR abs/2205.08820 (2022) - [i5]Anna Nguyen, Antonio Longa, Massimiliano Luca, Joe Kaul, Gabriel Lopez:
Emotion Analysis using Multi-Layered Networks for Graphical Representation of Tweets. CoRR abs/2207.00907 (2022) - [i4]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 abs/2208.11947 (2022) - [i3]Steve Azzolin, Antonio Longa, Pietro Barbiero, Pietro Liò, Andrea Passerini:
Global Explainability of GNNs via Logic Combination of Learned Concepts. CoRR abs/2210.07147 (2022) - [i2]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 abs/2210.15304 (2022) - 2021
- [i1]Antonio Longa, Giulia Cencetti, Bruno Lepri, Andrea Passerini:
An Efficient Procedure for Mining Egocentric Temporal Motifs. CoRR abs/2110.01391 (2021)
Coauthor Index
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