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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59 entries « 1 of 2 »
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

 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

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

Learning image captioning as a structured transduction task

Serramazza, Davide Italo; Bacciu, Davide

Learning image captioning as a structured transduction task Conference

Proceedings of the 23rd International Conference on Engineering Applications of Neural Networks (EANN 2022), vol. 1600, Communications in Computer and Information Science Springer, 2022.

Abstract | Links | 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

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

A Tensor Framework for Learning in Structured Domains

Castellana, Daniele; Bacciu, Davide

A Tensor Framework for Learning in Structured Domains Journal Article

In: Neurocomputing, vol. 470, pp. 405-426, 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

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

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

 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

Generalising Recursive Neural Models by Tensor Decomposition

Castellana, Daniele; Bacciu, Davide

Generalising Recursive Neural Models by Tensor Decomposition Conference

Proceedings of the 2020 IEEE World Congress on Computational Intelligence, 2020.

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

Tensor Decompositions in Deep Learning

Bacciu, Davide; Mandic, Danilo

Tensor Decompositions in Deep Learning Conference

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

Links | BibTeX

 Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data

Castellana, Daniele; Bacciu, Davide

Tensor Decompositions in Recursive Neural Networks for Tree-Structured Data Conference

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

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

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models

Castellana, Daniele; Bacciu, Davide

Bayesian Tensor Factorisation for Bottom-up Hidden Tree Markov Models Conference

Proceedings of the 2019 International Joint Conference on Neural Networks (IJCNN 2019I) , IEEE, 2019.

Abstract | Links | BibTeX

Bayesian Mixtures of Hidden Tree Markov Models for Structured Data Clustering

Davide, Bacciu; Daniele, Castellana

Bayesian Mixtures of Hidden Tree Markov Models for Structured Data Clustering Journal Article

In: Neurocomputing, vol. 342, pp. 49-59, 2019, ISBN: 0925-2312.

Abstract | 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

Deep Tree Transductions - A Short Survey

Davide, Bacciu; Antonio, Bruno

Deep Tree Transductions - A Short Survey Conference

Proceedings of the 2019 INNS Big Data and Deep Learning (INNSBDDL 2019) , Recent Advances in Big Data and Deep Learning Springer International Publishing, 2019.

Abstract | 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

Davide, Bacciu; Daniele, Castellana

Learning Tree Distributions by Hidden Markov Models Workshop

Proceedings of the FLOC 2018 Workshop on Learning and Automata (LearnAut'18), 2018.

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

Mixture of Hidden Markov Models as Tree Encoder

Davide, Bacciu; Daniele, Castellana

Mixture of Hidden Markov Models as Tree Encoder Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'18), i6doc.com, Louvain-la-Neuve, Belgium, 2018, ISBN: 978-287587047-6.

Abstract | BibTeX

Generative Kernels for Tree-Structured Data

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Generative Kernels for Tree-Structured Data Journal Article

In: Neural Networks and Learning Systems, IEEE Transactions on, 2018, ISSN: 2162-2388 .

Abstract | Links | BibTeX

Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data

Davide, Bacciu

Hidden Tree Markov Networks: Deep and Wide Learning for Structured Data Conference

Proc. of the 2017 IEEE Symposium Series on Computational Intelligence (SSCI'17), IEEE, 2017.

Links | BibTeX

Unsupervised feature selection for sensor time-series in pervasive computing applications

Davide, Bacciu

Unsupervised feature selection for sensor time-series in pervasive computing applications Journal Article

In: Neural Computing and Applications, vol. 27, no. 5, pp. 1077-1091, 2016, ISSN: 1433-3058.

Abstract | Links | BibTeX

Davide, Bacciu; Vincenzo, Gervasi; Giuseppe, Prencipe

An Investigation into Cybernetic Humor, or: Can Machines Laugh? Conference

Proceedings of the 8th International Conference on Fun with Algorithms (FUN'16) , vol. 49, Leibniz International Proceedings in Informatics (LIPIcs) Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik, 2016, ISSN: 1868-8969.

Abstract | Links | BibTeX

Giuseppe, Amato; Davide, Bacciu; Stefano, Chessa; Mauro, Dragone; Claudio, Gallicchio; Claudio, Gennaro; Hector, Lozano; Alessio, Micheli; Arantxa, Renteria; Claudio, Vairo

A Benchmark Dataset for Human Activity Recognition and Ambient Assisted Living Conference

Proceedings of the 7th International Conference on Ambient Intelligence (ISAMI'16), vol. 476, Advances in Intelligent Systems and Computing Springer, 2016, ISBN: 978-3-319-40113-3.

Abstract | Links | BibTeX

A reservoir activation kernel for trees

Davide, Bacciu; Claudio, Gallicchio; Alessio, Micheli

A reservoir activation kernel for trees Conference

Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'16), i6doc.com, 2016, ISBN: 978-287587027-.

Links | BibTeX

ESNigma: efficient feature selection for Echo State Networks

Davide, Bacciu; Filippo, Benedetti; Alessio, Micheli

ESNigma: efficient feature selection for Echo State Networks Conference

Proceedings of the 23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN'15), i6doc.com publ., 2015.

Abstract | Links | BibTeX

Giuseppe, Amato; Davide, Bacciu; Mathias, Broxvall; Stefano, Chessa; Sonya, Coleman; Maurizio, Di Rocco; Mauro, Dragone; Claudio, Gallicchio; Claudio, Gennaro; Hector, Lozano; Martin, McGinnity T; Alessio, Micheli; AK, Ray; Arantxa, Renteria; Alessandro, Saffiotti; David, Swords; Claudio, Vairo; Philip, Vance

Robotic Ubiquitous Cognitive Ecology for Smart Homes Journal Article

In: Journal of Intelligent & Robotic Systems, vol. 80, no. 1, pp. 57-81, 2015, ISSN: 0921-0296.

Abstract | Links | BibTeX

An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications

Davide, Bacciu

An Iterative Feature Filter for Sensor Timeseries in Pervasive Computing Applications Conference

Communications in Computer and Information Science - Engineering Applications of Neural Networks, vol. 459, Springer International Publishing, 2014.

Abstract | Links | BibTeX

Integrating bi-directional contexts in a generative kernel for trees

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

Integrating bi-directional contexts in a generative kernel for trees Conference

Neural Networks (IJCNN), 2014 International Joint Conference on, IEEE, 2014.

Links | BibTeX

An input–output hidden Markov model for tree transductions

Davide, Bacciu; Alessio, Micheli; Alessandro, Sperduti

An input–output hidden Markov model for tree transductions Journal Article

In: Neurocomputing, vol. 112, pp. 34–46, 2013, ISSN: 0925-2312.

Links | BibTeX

Davide, Bacciu; Stefano, CHESSA; Claudio, Gallicchio; Alessio, MICHELI; Paolo, Barsocchi

An Experimental Evaluation of Reservoir Computation for Ambient Assisted Living Conference

Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, vol. 19, Springer, 2013.

Links | BibTeX

Nicola, Di Mauro; Paolo, Frasconi; Fabrizio, Angiulli; Davide, Bacciu; de Gemmis Marco,; Floriana, Esposito; Nicola, Fanizzi; Stefano, Ferilli; Marco, Gori; A, Lisi Francesca; others,

Italian Machine Learning and Data Mining research: The last years Journal Article

In: Intelligenza Artificiale, vol. 7, no. 2, pp. 77–89, 2013.

Links | BibTeX

59 entries « 1 of 2 »