@article{liu2026hypergraph,
  title = {Diagnosing Alzheimer’s disease using hypergraph neural networks with prompt tuning},
  author = {Chenyu Liu and Luca Cosmo and Luca Rossi},
  year = {2026},
  journal = {Pattern Recognition},
  volume = {176},
  pages = {113290},
  doi = {10.1016/j.patcog.2026.113290},
  url = {https://doi.org/10.1016/j.patcog.2026.113290}
}

@article{zhang2026grafix,
  title = {GraFix++: A novel graph transformer based on a fixed multi-head structural attention mechanism},
  author = {Lingfeng Zhang and Luca Cosmo and Giorgia Minello and Andrea Torsello and Luca Rossi},
  year = {2026},
  journal = {Pattern Recognition},
  volume = {180},
  pages = {114633},
  doi = {10.1016/j.patcog.2026.114633},
  url = {https://doi.org/10.1016/j.patcog.2026.114633}
}

@article{pistellato2026waves,
  title = {Leveraging Generative Models for Uncertainty-aware Sea Waves 3D Reconstruction},
  author = {Mara Pistellato and Filippo Bergamasco and Shambel Fente Mengistu and Luca Cosmo and Francesco Barbariol and Alvise Benetazzo and Andrea Torsello},
  year = {2026},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  doi = {10.1109/TGRS.2026.3730661},
  url = {https://doi.org/10.1109/TGRS.2026.3730661}
}

@inproceedings{ciranni2025cocola,
  title = {COCOLA: Coherence-Oriented Contrastive Learning of Musical Audio Representations},
  author = {Ruben Ciranni and Giorgio Mariani and Michele Mancusi and Emilian Postolache and Giorgio Fabbro and Emanuele Rodolà and Luca Cosmo},
  year = {2025},
  booktitle = {2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  doi = {10.1109/ICASSP49660.2025.10888146},
  url = {https://arxiv.org/abs/2404.16969}
}

@inproceedings{minello2025spectral,
  title = {Generating Graphs via Spectral Diffusion},
  author = {Giorgia Minello and Alessandro Bicciato and Luca Rossi and Andrea Torsello and Luca Cosmo},
  year = {2025},
  booktitle = {The Thirteenth International Conference on Learning Representations},
  url = {https://openreview.net/forum?id=AAXBfJNHDt}
}

@article{cosmo2025gknn,
  title = {Graph Kernel Neural Networks},
  author = {Luca Cosmo and Giorgia Minello and Alessandro Bicciato and Michael M. Bronstein and Emanuele Rodolà and Luca Rossi and Andrea Torsello},
  year = {2025},
  journal = {IEEE Transactions on Neural Networks and Learning Systems},
  volume = {36},
  number = {4},
  pages = {6257--6270},
  doi = {10.1109/TNNLS.2024.3400850},
  url = {https://doi.org/10.1109/TNNLS.2024.3400850}
}

@inproceedings{postolache2025eeg,
  title = {Naturalistic Music Decoding from EEG Data via Latent Diffusion Models},
  author = {Emilian Postolache and Natalia Polouliakh and Hiroaki Kitano and Akima Connelly and Emanuele Rodolà and Luca Cosmo and Taketo Akama},
  year = {2025},
  booktitle = {2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages = {1--5},
  doi = {10.1109/ICASSP49660.2025.10887735},
  url = {https://doi.org/10.1109/ICASSP49660.2025.10887735}
}

@inproceedings{strano2025stage,
  title = {STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning},
  author = {Giorgio Strano and Chiara Ballanti and Donato Crisostomi and Michele Mancusi and Luca Cosmo and Emanuele Rodolà},
  year = {2025},
  booktitle = {Proceedings of the 26th International Society for Music Information Retrieval Conference},
  url = {https://arxiv.org/abs/2504.05690}
}

@inproceedings{postolache2024generalized,
  title = {Generalized Multi-Source Inference for Text Conditioned Music Diffusion Models},
  author = {Emilian Postolache and Giorgio Mariani and Luca Cosmo and Emmanouil Benetos and Emanuele Rodolà},
  year = {2024},
  booktitle = {ICASSP},
  pages = {6980--6984},
  doi = {10.1109/ICASSP48485.2024.10447122},
  url = {https://doi.org/10.1109/ICASSP48485.2024.10447122}
}

@article{bicciato2024lofi,
  title = {GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection},
  author = {Alessandro Bicciato and Luca Cosmo and Giorgia Minello and Luca Rossi and Andrea Torsello},
  year = {2024},
  journal = {Pattern Recognition},
  volume = {148},
  pages = {110210},
  doi = {10.1016/j.patcog.2023.110210},
  url = {https://doi.org/10.1016/j.patcog.2023.110210}
}

@inproceedings{zhang2024grafix,
  title = {GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel},
  author = {Lingfeng Zhang and Luca Cosmo and Giorgia Minello and Andrea Torsello and Luca Rossi},
  year = {2025},
  booktitle = {ICPR 2024},
  pages = {435--450},
  doi = {10.1007/978-3-031-78128-5_28},
  url = {https://doi.org/10.1007/978-3-031-78128-5_28}
}

@inproceedings{minello2024lesi,
  title = {LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding},
  author = {Giorgia Minello and Lingfeng Zhang and Alessandro Bicciato and Luca Rossi and Andrea Torsello and Luca Cosmo},
  year = {2025},
  booktitle = {S+SSPR 2024},
  pages = {72--81},
  doi = {10.1007/978-3-031-80507-3_8},
  url = {https://doi.org/10.1007/978-3-031-80507-3_8}
}

@inproceedings{mariani2024multisource,
  title = {Multi-Source Diffusion Models for Simultaneous Music Generation and Separation},
  author = {Giorgio Mariani and Irene Tallini and Emilian Postolache and Michele Mancusi and Luca Cosmo and Emanuele Rodolà},
  year = {2024},
  booktitle = {The Twelfth International Conference on Learning Representations},
  url = {https://proceedings.iclr.cc/paper_files/paper/2024/hash/870c1e0589822bf37590b84984c345c4-Abstract-Conference.html}
}

@inproceedings{zohaib2024selfgeo,
  title = {SelfGeo: Self-supervised and Geodesic-Consistent Estimation of Keypoints on Deformable Shapes},
  author = {Mohammad Zohaib and Luca Cosmo and Alessio Del Bue},
  year = {2024},
  booktitle = {ECCV},
  pages = {71--88},
  doi = {10.1007/978-3-031-73013-9_5},
  url = {https://doi.org/10.1007/978-3-031-73013-9_5}
}

@article{kazi2023dgm,
  title = {Differentiable Graph Module (DGM) for Graph Convolutional Networks},
  author = {Anees Kazi and Luca Cosmo and Seyed-Ahmad Ahmadi and Nassir Navab and Michael M. Bronstein},
  year = {2023},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume = {45},
  number = {2},
  pages = {1606--1617},
  doi = {10.1109/TPAMI.2022.3170249},
  url = {https://doi.org/10.1109/TPAMI.2022.3170249}
}

@article{zaripova2023gig,
  title = {Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications},
  author = {Kamilia Zaripova and Luca Cosmo and Anees Kazi and Seyed-Ahmad Ahmadi and Michael M. Bronstein and Nassir Navab},
  year = {2023},
  journal = {Medical Image Analysis},
  volume = {88},
  pages = {102839},
  doi = {10.1016/j.media.2023.102839},
  url = {https://doi.org/10.1016/j.media.2023.102839}
}

@article{weiss2023guided,
  title = {Guided diffusion for inverse molecular design},
  author = {Tomer Weiss and Eduardo Mayo Yanes and Sabyasachi Chakraborty and Luca Cosmo and Alex M. Bronstein and Renana Gershoni-Poranne},
  year = {2023},
  journal = {Nature Computational Science},
  volume = {3},
  number = {10},
  pages = {873--882},
  doi = {10.1038/s43588-023-00532-0},
  url = {https://www.nature.com/articles/s43588-023-00532-0}
}

@inproceedings{postolache2023lass,
  title = {Latent Autoregressive Source Separation},
  author = {Emilian Postolache and Giorgio Mariani and Michele Mancusi and Andrea Santilli and Luca Cosmo and Emanuele Rodolà},
  year = {2023},
  booktitle = {AAAI},
  pages = {9444--9452},
  doi = {10.1609/aaai.v37i8.26131},
  url = {https://doi.org/10.1609/aaai.v37i8.26131}
}

@inproceedings{pegoraro2023spectral,
  title = {Spectral Maps for Learning on Subgraphs},
  author = {Marco Pegoraro and Riccardo Marin and Arianna Rampini and Simone Melzi and Luca Cosmo and Emanuele Rodolà},
  year = {2024},
  booktitle = {NeurReps workshop 2023},
  pages = {183--205},
  url = {https://proceedings.mlr.press/v228/pegoraro24a.html}
}

@article{mariani2020adversarial,
  title = {Generating Adversarial Surfaces via Band-Limited Perturbations},
  author = {Giorgio Mariani and Luca Cosmo and Alexander M. Bronstein and Emanuele Rodolà},
  year = {2020},
  journal = {Computer Graphics Forum},
  volume = {39},
  number = {5},
  pages = {253--264},
  doi = {10.1111/cgf.14083},
  url = {https://doi.org/10.1111/cgf.14083}
}

@inproceedings{cosmo2020latentgraph,
  title = {Latent-Graph Learning for Disease Prediction},
  author = {Luca Cosmo and Anees Kazi and Seyed-Ahmad Ahmadi and Nassir Navab and Michael M. Bronstein},
  year = {2020},
  booktitle = {Medical Image Computing and Computer Assisted Intervention – MICCAI 2020},
  pages = {643--653},
  doi = {10.1007/978-3-030-59713-9_62},
  url = {https://arxiv.org/abs/2003.13620}
}

@inproceedings{cosmo2020limp,
  title = {LIMP: Learning Latent Shape Representations with Metric Preservation Priors},
  author = {Luca Cosmo and Antonio Norelli and Oshri Halimi and Ron Kimmel and Emanuele Rodolà},
  year = {2020},
  booktitle = {Computer Vision – ECCV 2020},
  pages = {19--35},
  doi = {10.1007/978-3-030-58580-8_2},
  url = {https://arxiv.org/abs/2003.12283}
}

@inproceedings{cosmo2020amks,
  title = {The Average Mixing Kernel Signature},
  author = {Luca Cosmo and Giorgia Minello and Michael M. Bronstein and Luca Rossi and Andrea Torsello},
  year = {2020},
  booktitle = {ECCV},
  url = {https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123650001.pdf}
}

@inproceedings{cosmo2019isospectralization,
  title = {Isospectralization, or How to Hear Shape, Style, and Correspondence},
  author = {Luca Cosmo and Mikhail Panine and Arianna Rampini and Maks Ovsjanikov and Michael M. Bronstein and Emanuele Rodolà},
  year = {2019},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {7529--7538},
  doi = {10.1109/CVPR.2019.00771},
  url = {https://openaccess.thecvf.com/content_CVPR_2019/html/Cosmo_Isospectralization_or_How_to_Hear_Shape_Style_and_Correspondence_CVPR_2019_paper.html}
}