Non-parametric Spectral Model for Shape Retrieval. - Andrea Gasparetto; Giorgia Minello; Andrea Torsello (3DV, 2015)

A Non-parametric Spectral Model for Graph Classification. - Andrea Gasparetto; Giorgia Minello; Andrea Torsello (ICPRAM (1), 2015)

Quantum thermodynamics of time evolving networks. - Giorgia Minello; Andrea Torsello; Edwin R. Hancock (ICPR, 2016)

Edge Centrality via the Holevo Quantity. - Joshua Lockhart; Giorgia Minello; Luca Rossi 004; Simone Severini; Andrea Torsello (S+SSPR, 2016)

Thermodynamic Characterization of Temporal Networks. - Giorgia Minello; Andrea Torsello; Edwin R. Hancock (S+SSPR, 2016)

Deformable Shape Retrieval with Missing Parts. - Emanuele Rodolà; Luca Cosmo; Or Litany; Michael M. Bronstein; Alexander M. Bronstein; Nicolas Audebert; A. Ben Hamza; Alexandre Boulch; Umberto Castellani; Minh N. Do; Duc Anh Duong; Takahiko Furuya; et al. (3DOR@Eurographics, 2017)

Quantum processes for structural analysis. - Giorgia Minello (2018)

On the von Neumann entropy of graphs. - Giorgia Minello; Luca Rossi 004; Andrea Torsello (J. Complex Networks, 2019)

Can a Quantum Walk Tell Which Is Which?A Study of Quantum Walk-Based Graph Similarity. - Giorgia Minello; Luca Rossi 004; Andrea Torsello (Entropy, 2019)

The Average Mixing Kernel Signature. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Luca Rossi 004; Andrea Torsello (ECCV (20), 2020)

Open system quantum thermodynamics of time-varying graphs. - Giorgia Minello; Andrea Torsello; Edwin R. Hancock (J. Complex Networks, 2020)

LDA2Net: Digging under the surface of COVID-19 topics in scientific literature. - Giorgia Minello; Carlo R. M. A. Santagiustina; Massimo Warglien (CoRR, 2021)

Graph Kernel Neural Networks. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (CoRR, 2021)

Representation of Jews and Anti-Jewish Bias in 19th Century French Public Discourse: Distant and Close Reading. - Simon Levis Sullam; Giorgia Minello; Rocco Tripodi; Massimo Warglien (Frontiers Big Data, 2021)

k-Anonymity on Graphs Using the Szemerédi Regularity Lemma. - Giorgia Minello; Luca Rossi 004; Andrea Torsello (IEEE Trans. Netw. Sci. Eng., 2021)

Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment. - Alessandro Bicciato; Luca Cosmo; Giorgia Minello; Luca Rossi 004; Andrea Torsello (S+SSPR, 2022)

3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. - Luca Cosmo; Giorgia Minello; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (Int. J. Comput. Vis., 2022)

Can Embeddings Analysis Explain Large Language Model Ranking? - Claudio Lucchese; Giorgia Minello; Franco Maria Nardini; Salvatore Orlando 001; Raffaele Perego 001; Alberto Veneri (CIKM, 2023)

GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel. - Lingfeng Zhang; Luca Cosmo; Giorgia Minello; Andrea Torsello; Luca Rossi 004 (ICPR (4), 2024)

LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding. - Giorgia Minello; Lingfeng Zhang; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (S+SSPR, 2024)

Graph Generation via Spectral Diffusion. - Giorgia Minello; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (CoRR, 2024)

GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection. - Alessandro Bicciato; Luca Cosmo; Giorgia Minello; Luca Rossi 004; Andrea Torsello (Pattern Recognit., 2024)

Generating Graphs via Spectral Diffusion. - Giorgia Minello; Alessandro Bicciato; Luca Rossi 004; Andrea Torsello; Luca Cosmo (ICLR, 2025)

Graph Kernel Neural Networks. - Luca Cosmo; Giorgia Minello; Alessandro Bicciato; Michael M. Bronstein; Emanuele Rodolà; Luca Rossi 004; Andrea Torsello (IEEE Trans. Neural Networks Learn. Syst., 2025)