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

 A Tropical View of Graph Neural Networks

Landolfi, Francesco; Bacciu, Davide; Numeroso, Danilo

A Tropical View of Graph Neural Networks 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

Generalizing Downsampling from Regular Data to Graphs

Bacciu, Davide; Conte, Alessio; Landolfi, Francesco

Generalizing Downsampling from Regular Data to Graphs Conference

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023.

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

The Infinite Contextual Graph Markov Model

Castellana, Daniele; Errica, Federico; Bacciu, Davide; Micheli, Alessio

The Infinite Contextual Graph Markov Model Conference

Proceedings of the 39th International Conference on Machine Learning (ICML 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

Graph Neural Network for Context-Aware Recommendation

Sattar, Asma; Bacciu, Davide

Graph Neural Network for Context-Aware Recommendation Journal Article

In: Neural Processing Letters, 2022.

Links | BibTeX

Learning heuristics for A*

Numeroso, Danilo; Bacciu, Davide; Veličković, Petar

Learning heuristics for A* Workshop

ICRL 2022 Workshop on Anchoring Machine Learning in Classical Algorithmic Theory (GroundedML 2022), 2022.

Abstract | BibTeX

Explaining Deep Graph Networks via Input Perturbation

Bacciu, Davide; Numeroso, Danilo

Explaining Deep Graph Networks via Input Perturbation Journal Article

In: IEEE Transactions on Neural Networks and Learning Systems, 2022.

Abstract | Links | BibTeX

Learning with few examples the semantic description of novel human-inspired grasp strategies from RGB data

Collodi, Lorenzo; Bacciu, Davide; Bianchi, Matteo; Averta, Giuseppe

Learning with few examples the semantic description of novel human-inspired grasp strategies from RGB data Journal Article

In: IEEE Robotics and Automation Letters, pp. 2573 - 2580, 2022.

Abstract | Links | BibTeX

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks

Gravina, Alessio; Wilson, Jennifer L.; Bacciu, Davide; Grimes, Kevin J.; Priami, Corrado

Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks Journal Article

In: Plos Computational Biology, vol. 18, no. 5, 2022.

Abstract | Links | BibTeX

Catastrophic Forgetting in Deep Graph Networks: a Graph Classification benchmark

Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide

Catastrophic Forgetting in Deep Graph Networks: a Graph Classification benchmark Journal Article

In: Frontiers in Artificial Intelligence , 2022.

Abstract | Links | BibTeX

 Deep learning for graphs

Bacciu, Davide; Bianchi, Filippo Maria; Paassen, Benjamin; Alippi, Cesare

Deep learning for graphs Conference

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), 2021.

Abstract | Links | BibTeX

Inductive learning for product assortment graph completion

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

Inductive learning for product assortment graph completion Conference

Proceedings of the 29th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2021), 2021.

Abstract | Links | BibTeX

K-Plex Cover Pooling for Graph Neural Networks

Bacciu, Davide; Conte, Alessio; Grossi, Roberto; Landolfi, Francesco; Marino, Andrea

K-Plex Cover Pooling for Graph Neural Networks Journal Article

In: Data Mining and Knowledge Discovery, 2021, (Accepted also as paper to the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2021)).

Abstract | Links | BibTeX

 Modeling Edge Features with Deep Bayesian Graph Networks

Atzeni, Daniele; Bacciu, Davide; Errica, Federico; Micheli, Alessio

Modeling Edge Features with Deep Bayesian Graph Networks Conference

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE IEEE, 2021.

Abstract | Links | BibTeX

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks

Numeroso, Danilo; Bacciu, Davide

MEG: Generating Molecular Counterfactual Explanations for Deep Graph Networks Conference

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE 2021.

BibTeX

GraphGen-Redux: a Fast and Lightweight Recurrent Model for Labeled Graph Generation

Bacciu, Davide; Podda, Marco

GraphGen-Redux: a Fast and Lightweight Recurrent Model for Labeled Graph Generation Conference

Proceedings of the International Joint Conference on Neural Networks (IJCNN 2021), IEEE 2021.

Abstract | Links | BibTeX

Graph Mixture Density Networks

Errica, Federico; Bacciu, Davide; Micheli, Alessio

Graph Mixture Density Networks Conference

Proceedings of the 38th International Conference on Machine Learning (ICML 2021), PMLR, 2021.

Links | BibTeX

Context-aware Graph Convolutional Autoencoder

Sattar, Asma; Bacciu, Davide

Context-aware Graph Convolutional Autoencoder Conference

Proceedings of the 16th International Work Conference on Artificial Neural Networks (IWANN 2021), vol. 12862, LNCS Springer, 2021.

Abstract | Links | BibTeX

 Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification

Carta, Antonio; Cossu, Andrea; Errica, Federico; Bacciu, Davide

Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Workshop

The Web Conference 2021 Workshop on Graph Learning Benchmarks (GLB21), 2021.

Abstract | BibTeX

A deep graph network-enhanced sampling approach to efficiently explore the space of reduced representations of proteins

Errica, Federico; Giulini, Marco; Bacciu, Davide; Menichetti, Roberto; Micheli, Alessio; Potestio, Raffaello

A deep graph network-enhanced sampling approach to efficiently explore the space of reduced representations of proteins Journal Article

In: Frontiers in Molecular Biosciences, vol. 8, pp. 136, 2021.

Links | BibTeX

K-plex Cover Pooling for Graph Neural Networks

Bacciu, Davide; Conte, Alessio; Grossi, Roberto; Landolfi, Francesco; Marino, Andrea

K-plex Cover Pooling for Graph Neural Networks Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Learning Meets Combinatorial Algorithms, 2020.

Abstract | BibTeX

Explaining Deep Graph Networks with Molecular Counterfactuals

Bacciu, Davide; Numeroso, Danilo

Explaining Deep Graph Networks with Molecular Counterfactuals Workshop

34th Conference on Neural Information Processing Systems (NeurIPS 2020), Workshop on Machine Learning for Molecules - Accepted as Contributed Talk (Oral), 2020.

Abstract | Links | BibTeX

A Gentle Introduction to Deep Learning for Graphs

Bacciu, Davide; Errica, Federico; Micheli, Alessio; Podda, Marco

A Gentle Introduction to Deep Learning for Graphs Journal Article

In: Neural Networks, vol. 129, pp. 203-221, 2020.

Abstract | Links | BibTeX

Probabilistic Learning on Graphs via Contextual Architectures

Bacciu, Davide; Errica, Federico; Micheli, Alessio

Probabilistic Learning on Graphs via Contextual Architectures Journal Article

In: Journal of Machine Learning Research, vol. 21, no. 134, pp. 1−39, 2020.

Abstract | Links | BibTeX

A Deep Generative Model for Fragment-Based Molecule Generation

Podda, Marco; Bacciu, Davide; Micheli, Alessio

A Deep Generative Model for Fragment-Based Molecule Generation Conference

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020) , 2020.

Abstract | Links | BibTeX

A Fair Comparison of Graph Neural Networks for Graph Classification

Errica, Federico; Podda, Marco; Bacciu, Davide; Micheli, Alessio

A Fair Comparison of Graph Neural Networks for Graph Classification Conference

Proceedings of the Eighth International Conference on Learning Representations (ICLR 2020), 2020.

Abstract | Links | BibTeX

 Biochemical Pathway Robustness Prediction with Graph Neural Networks

Podda, Marco; Micheli, Alessio; Bacciu, Davide; Milazzo, Paolo

Biochemical Pathway Robustness Prediction with Graph Neural Networks Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

BibTeX

 Theoretically Expressive and Edge-aware Graph Learning

Errica, Federico; Bacciu, Davide; Micheli, Alessio

Theoretically Expressive and Edge-aware Graph Learning Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'20), 2020.

Abstract | Links | BibTeX

Deep Learning for Graphs

Bacciu, Davide; Micheli, Alessio

Deep Learning for Graphs Book Chapter

In: Oneto, Luca; Navarin, Nicolo; Sperduti, Alessandro; Anguita, Davide (Ed.): Recent Trends in Learning From Data: Tutorials from the INNS Big Data and Deep Learning Conference (INNSBDDL2019), vol. 896, pp. 99-127, Springer International Publishing, 2020, ISBN: 978-3-030-43883-8.

Abstract | Links | BibTeX

Edge-based sequential graph generation with recurrent neural networks

Bacciu, Davide; Micheli, Alessio; Podda, Marco

Edge-based sequential graph generation with recurrent neural networks Journal Article

In: Neurocomputing, 2019.

Abstract | Links | BibTeX

A non-negative factorization approach to node pooling in graph convolutional neural networks

Bacciu, Davide; Sotto, Luigi Di

A non-negative factorization approach to node pooling in graph convolutional neural networks Conference

Proceedings of the 18th International Conference of the Italian Association for Artificial Intelligence (AIIA 2019), Lecture Notes in Artificial Intelligence Springer-Verlag, 2019.

Links | BibTeX

Graph generation by sequential edge prediction

Bacciu, Davide; Micheli, Alessio; Podda, Marco

Graph generation by sequential edge prediction Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'19), i6doc.com, Louvain-la-Neuve, Belgium, 2019.

Links | BibTeX

Text Summarization as Tree Transduction by Top-Down TreeLSTM

Davide, Bacciu; Antonio, Bruno

Text Summarization as Tree Transduction by Top-Down TreeLSTM Conference

Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI'18), IEEE, 2018.

Abstract | Links | BibTeX

Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing

Davide, Bacciu; Federico, Errica; Alessio, Micheli

Contextual Graph Markov Model: A Deep and Generative Approach to Graph Processing Conference

Proceedings of the 35th International Conference on Machine Learning (ICML 2018), 2018.

Links | BibTeX