Publications

International Journals

1. L. Cosmo, G. Minello, A. Bicciato, M. M. Bronstein, E. Rodolà, L. Rossi, and A. Torsello. Graph kernel neural networks. IEEE Transactions on Neural Networks and Learning Systems, pp. 1–14, 2024. doi:10.1109/tnnls.2024.3400850

2. G. Minello, C. R. M. A. Santagiustina, and M. Warglien. Lda2net: digging under the surface of covid-19 scientific literature topics via a network-based approach. PLOS One, 19(4):e0300194, 2024.

3. A. Bicciato, L. Cosmo, G. Minello, L. Rossi, and A. Torsello. GNN-LoFi: A novel graph neural network through localized feature-based histogram intersection. Pattern Recognition, p.110210, 2023. doi:10.1016/j.patcog.2023.110210

4. G. Minello and D. Paci. A benchmark corpus for topic modeling on the origins of modern antisemitism. Umanistica Digitale, (13):117–151, 2022.

5. L. Cosmo, G. Minello, M. Bronstein, E. Rodolà, L. Rossi, and A. Torsello. 3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. International Journal of Computer Vision, 2022.

6. S. Levis Sullam, G. Minello, R. Tripodi, and M. Warglien. Representation of Jews and Anti-Jewish Bias in 19th Century French Public Discourse. Frontiers in Big Data, 4, 2022. doi:10.3389/fdata.2021.723043

7. G. Minello, L. Rossi, and A. Torsello. k-Anonymity on Graphs using the Szemerédi Regularity Lemma. IEEE Transactions on Network Science and Engineering, 2020. doi:10.1109/TNSE.2020.3020329

8. G. Minello, A. Torsello, and E. R. Hancock. Open System Quantum Thermodynamics of Time Varying Graphs. Journal of Complex Networks, 8(1):cnaa004, 2020. doi:10.1093/comnet/cnaa004

9. G. Minello, L. Rossi, and A. Torsello. Can a Quantum Walk Tell Which Is Which? A Study of Quantum Walk-Based Graph Similarity. Entropy, 21(3):328, 2019. doi:10.3390/e21030328

10. G. Minello, L. Rossi, and A. Torsello. On the von Neumann Entropy of Graphs. Journal of Complex Networks, 7(4):491–514, 2018. doi:10.1093/comnet/cny028
    
    

Refereed Conference Papers and Preprints

1. G. Minello, A. Bicciato, L. Rossi, A. Torsello, and L. Cosmo. Generating graphs via spectral diffusion. In ICLR 2025, 2025.

2. G. Minello, L. Zhang, A. Bicciato, L. Rossi, A. Torsello, and L. Cosmo. Lesi-GNN: An interpretable graph neural network based on local structures embedding. In SPR/SSPR, pp.72–81. Springer, 2024.

3. L. Zhang, L. Cosmo, G. Minello, A. Torsello, and L. Rossi. Grafix: Graph transformer with fixed attention. In ICPR 2024, 2024.

4. C. Lucchese, G. Minello, F. M. Nardini, S. Orlando, R. Perego, and A. Veneri. Can embeddings analysis explain large language model ranking? In CIKM 2023, pp.4150–4154. ACM, 2023. doi:10.1145/3583780.3615225

5. A. Bicciato, L. Cosmo, G. Minello, L. Rossi, and A. Torsello. Classifying me softly: A novel graph neural network based on features soft-alignment. In SPR/SSPR, pp.43–53. Springer, 2022.

6. G. Minello, L. Cosmo, M. Bronstein, L. Rossi, and A. Torsello. The Average Mixing Kernel Signature. In ECCV 2020, pp.1–17. Springer, 2020. doi:10.1007/978-3-030-58565-5_1

7. E. Rodolà, L. Cosmo, O. Litany, M. M. Bronstein, A. M. Bronstein, N. Audebert, A. B. Hamza, A. Boulch, U. Castellani, M. N. Do, et al. Shrec’17: Deformable shape retrieval with missing parts. In 3DOR 2017, pp.85–94. Eurographics, 2017.

8. G. Minello, A. Torsello, and E. R. Hancock. Quantum Thermodynamics of Time Evolving Networks. In ICPR 2016, pp.1536–1541. IEEE, 2016.

9. G. Minello, A. Torsello, and E. R. Hancock. Thermodynamic Characterization of Temporal Networks. In SPR/SSPR 2016, pp.49–59. Springer, 2016.

10. J. Lockhart, G. Minello, L. Rossi, S. Severini, and A. Torsello. Edge Centrality via the Holevo quantity. In SPR/SSPR 2016, pp.143–152. Springer, 2016. doi:10.1007/978-3-319-49055-7_13

11. A. Gasparetto, G. Minello, and A. Torsello. Non-Parametric Spectral Model for Shape retrieval. In 3DV 2015, pp.344–352. IEEE, 2015. doi:10.1109/3DV.2015.46

12. A. Gasparetto, G. Minello, and A. Torsello. A Non-Parametric Spectral Model for Graph classification. In ICPRAM 2015, pp.312–319, 2015.