Publications

Here you can find a consolidated (a.k.a. slowly updated) list of my publications. A frequently updated (and possibly noisy) list of works is available on my Google Scholar profile.

Please find below a short list of highlight publications for my recent activity.

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Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit

Pasquali, Alex; Lomonaco, Vincenzo; Bacciu, Davide; Paganelli, Federica

Deep Reinforcement Learning for Network Slice Placement and the DeepNetSlice Toolkit Conference Forthcoming

Proceedings of the IEEE International Conference on Machine Learning for Communication and Networking 2024 (IEEE ICMLCN 2024), IEEE, Forthcoming.

BibTeX

Classifier-free graph diffusion for molecular property targeting

Ninniri, Matteo; Podda, Marco; Bacciu, Davide

Classifier-free graph diffusion for molecular property targeting Workshop

4th workshop on Graphs and more Complex structures for Learning and Reasoning (GCLR) at AAAI 2024, 2024.

Abstract | Links | BibTeX

Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs

Gravina, Alessio; Lovisotto, Giulio; Gallicchio, Claudio; Bacciu, Davide; Grohnfeldt, Claas

Effective Non-Dissipative Propagation for Continuous-Time Dynamic Graphs Workshop

Temporal Graph Learning Workshop, NeurIPS 2023, 2023.

Abstract | Links | BibTeX

Neural Algorithmic Reasoning for Combinatorial Optimisation

Georgiev, Dobrik; Numeroso, Danilo; Bacciu, Davide; Lio, Pietro

Neural Algorithmic Reasoning for Combinatorial Optimisation Proceeding

PMRL, 2023.

Abstract | BibTeX

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs

Errica, Federico; Bacciu, Davide; Micheli, Alessio

PyDGN: a Python Library for Flexible and Reproducible Research on Deep Learning for Graphs Journal Article

In: Journal of Open Source Software, vol. 8, no. 90, pp. 5713, 2023.

BibTeX

Hidden Markov Models for Temporal Graph Representation Learning

Errica, Federico; Gravina, Alessio; Bacciu, Davide; Micheli, Alessio

Hidden Markov Models for Temporal Graph Representation Learning Conference

Proceedings of the 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning , 2023.

BibTeX

Graph Representation Learning

Bacciu, Davide; Errica, Federico; Micheli, Alessio; Navarin, Nicolò; Pasa, Luca; Podda, Marco; Zambon, Daniele

Graph Representation Learning Conference

Proceedings of the 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning , 2023.

BibTeX

Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks

Gravina, Alessio; Gallicchio, Claudio; Bacciu, Davide

Non-Dissipative Propagation by Randomized Anti-Symmetric Deep Graph Networks Workshop

Proceedings of the ECML/PKDD Workshop on Deep Learning meets Neuromorphic Hardware, 2023.

BibTeX

Graph-based Polyphonic Multitrack Music Generation

Cosenza, Emanuele; Valenti, Andrea; Bacciu, Davide

Graph-based Polyphonic Multitrack Music Generation Conference

Proceedings of the 32nd INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI 2023), 2023.

BibTeX

Anti-Symmetric DGN: a stable architecture for Deep Graph Networks

Gravina, Alessio; Bacciu, Davide; Gallicchio, Claudio

Anti-Symmetric DGN: a stable architecture for Deep Graph Networks Conference

Proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023) , 2023.

Abstract | Links | BibTeX

Dual Algorithmic Reasoning

Numeroso, Danilo; Bacciu, Davide; Veličković, Petar

Dual Algorithmic Reasoning Conference

Proceedings of the Eleventh International Conference on Learning Representations (ICLR 2023), 2023, (Notable Spotlight paper).

Abstract | Links | BibTeX

Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks

Gravina, Alessio; Bacciu, Davide; Gallicchio, Claudio

Non-Dissipative Propagation by Anti-Symmetric Deep Graph Networks Workshop

Proceedigns of the Ninth International Workshop on Deep Learning on Graphs: Method and Applications (DLG-AAAI’23), 2023, (Winner of the Best Student Paper Award at DLG-AAAI23).

Abstract | Links | BibTeX

Deep Graph Networks for Drug Repurposing with Multi-Protein Targets

Bacciu, Davide; Errica, Federico; Gravina, Alessio; Madeddu, Lorenzo; Podda, Marco; Stilo, Giovanni

Deep Graph Networks for Drug Repurposing with Multi-Protein Targets Journal Article

In: IEEE Transactions on Emerging Topics in Computing, 2023, 2023.

Links | BibTeX

Deep Learning for Graphs

Bacciu, Davide; Errica, Federico; Navarin, Nicolò; Pasa, Luca; Zambon, Daniele

Deep Learning for Graphs Conference

Proceedings of the 30th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2022), 2022.

BibTeX

Inductive-Transductive Learning for Very Sparse Fashion Graphs

Dukic, Haris; Mokarizadeh, Shahab; Deligiorgis, Georgios; Sepe, Pierpaolo; Bacciu, Davide; Trincavelli, Marco

Inductive-Transductive Learning for Very Sparse Fashion Graphs Journal Article

In: Neurocomputing, 2022, ISSN: 0925-2312.

Abstract | Links | BibTeX