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Dr Giorgia Minello
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Email
giorgia.minello@essex.ac.uk -
Location
Colchester Campus
Profile
Biography
Giorgia Minello is a Lecturer in Artificial Intelligence in the School of Computer Science and Electronic Engineering (CSEE). Her research lies at the intersection of machine learning, graph representation learning, network science, and natural language processing, with a particular focus on structurally grounded artificial intelligence. She received her PhD in Computer Science from Ca' Foscari University of Venice in 2019, following earlier training in both statistics and computer science. Her multidisciplinary background has shaped a research approach that combines mathematical modelling, machine learning, graph theory, and data-driven analysis across a variety of domains. Her recent research has focused on graph neural networks, generative models for structured data, and interpretable AI. In particular, her work explores how relational information can be integrated into deep learning systems. A central aspect of her research concerns graph-based representations, motivated by the fact that many real-world systems can naturally be modelled as graphs, including social networks, molecular structures, biological systems, and semantic relationships. In this context, generative AI on graphs has become increasingly important for applications such as molecular and protein generation, scientific discovery, and the modelling of complex relational systems. Alongside methodological contributions in AI, she has also worked on interdisciplinary applications of machine learning, especially in computational social science, digital humanities, online social dynamics, and cultural analytics. Part of her work within the Horizon 2020 project ODYCCEUS focused on the study of antisemitism in French public discourse during the 19th century through large-scale textual analysis, natural language processing, and network analysis applied to historical archives. Over the years, she has collaborated with researchers from across Europe and Asia, including collaborations in Hong Kong, China, Spain, the United Kingdom, and Italy.
Qualifications
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PhD Ca' Foscari University of Venice, (2019)
Research and professional activities
Research interests
Artificial Intelligence
Graph Neural Networks
Generative AI for Structured Data
Graph Representation Learning
Explainable and Interpretable AI
Network Science
Structural Pattern Recognition
Natural Language Processing
Data Science
Complex Networks
Computational Social Science
Publications
Journal articles (11)
Cosmo, L., Minello, G., Bicciato, A., Bronstein, MM., Rodolà, E., Rossi, L. and Torsello, A., (2025). Graph Kernel Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 36 (4), 6257-6270
Torsello, A., Rossi, L., Cosmo, L. and Minello, G., (2025). Preface. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 15444 LNCS
Minello, G., Santagiustina, CRMA. and Warglien, M., (2024). LDA2Net Digging under the surface of COVID-19 scientific literature topics via a network-based approach. PLOS ONE. 19 (4), e0300194-e0300194
Bicciato, A., Cosmo, L., Minello, G., Rossi, L. and Torsello, A., (2024). GNN-LoFI: A novel graph neural network through localized feature-based histogram intersection. Pattern Recognition. 148, 110210-110210
Levis Sullam, S., Minello, G., Tripodi, R. and Warglien, M., (2022). Representation of Jews and Anti-Jewish Bias in 19th Century French Public Discourse: Distant and Close Reading. Frontiers in Big Data. 4, 723043-
Cosmo, L., Minello, G., Bronstein, M., Rodolà, E., Rossi, L. and Torsello, A., (2022). 3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature. International Journal of Computer Vision. 130 (6), 1474-1493
Minello, G. and Paci, D., (2022). A Benchmark Corpus for Topic Modeling on the Origins of Modern Antisemitism. Umanistica Digitale. 2022 (13), 117-151
Minello, G., Rossi, L. and Torsello, A., (2021). k-Anonymity on Graphs Using the Szemerédi Regularity Lemma. IEEE Transactions on Network Science and Engineering. 8 (2), 1283-1292
Minello, G., Torsello, A. and Hancock, ER., (2020). Open system quantum thermodynamics of time-varying graphs. Journal of Complex Networks. 8 (1)
Minello, G., Rossi, L. and Torsello, A., (2019). On the von Neumann entropy of graphs. Journal of Complex Networks. 7 (4), 491-514
Minello, G., Rossi, L. and Torsello, A., (2019). Can a Quantum Walk Tell Which Is Which?A Study of Quantum Walk-Based Graph Similarity. Entropy. 21 (3), 328-328
Book chapters (3)
Cosmo, L., Minello, G., Bronstein, M., Rossi, L. and Torsello, A., (2020). The Average Mixing Kernel Signature. In: Lecture Notes in Computer Science. Springer International Publishing. 1- 17. 9783030585648
Lockhart, J., Minello, G., Rossi, L., Severini, S. and Torsello, A., (2016). Edge Centrality via the Holevo Quantity. In: Lecture Notes in Computer Science. Springer International Publishing. 143- 152. 9783319490540
Minello, G., Torsello, A. and Hancock, ER., (2016). Thermodynamic Characterization of Temporal Networks. In: Lecture Notes in Computer Science. Springer International Publishing. 49- 59. 9783319490540
Conferences (9)
Zhang, L., Cosmo, L., Minello, G., Torsello, A. and Rossi, L., (2025). GraFix: A Graph Transformer with Fixed Attention Based on the WL Kernel
Minello, G., Zhang, L., Bicciato, A., Rossi, L., Torsello, A. and Cosmo, L., (2025). LESI-GNN: An Interpretable Graph Neural Network Based on Local Structures Embedding
Minello, G., Bicciato, A., Rossi, L., Torsello, A. and Cosmo, L., (2025). GENERATING GRAPHS VIA SPECTRAL DIFFUSION
Lucchese, C., Minello, G., Nardini, FM., Orlando, S., Perego, R. and Veneri, A., (2023). Can Embeddings Analysis Explain Large Language Model Ranking?
Bicciato, A., Cosmo, L., Minello, G., Rossi, L. and Torsello, A., (2022). Classifying Me Softly: A Novel Graph Neural Network Based on Features Soft-Alignment
Rodolà, E., Cosmo, L., Litany, O., Bronstein, MM., Bronstein, AM., Audebert, N., Ben Hamza, A., Boulch, A., Castellani, U., Do, MN., Duong, AD., Furuya, T., Gasparetto, A., Hong, Y., Kim, J., Le Saux, B., Litman, R., Masoumi, M., Minello, G., Nguyen, HD., Nguyen, VT., Ohbuchi, R., Pham, VK., Phan, TV., Rezaei, M., Torsello, A., Tran, MT., Tran, QT., Truong, B., Wan, L. and Zou, C., (2017). SHREC'17: Deformable shape retrieval with missing parts
Minello, G., Torsello, A. and Hancock, ER., (2016). Quantum thermodynamics of time evolving networks
Gasparetto, A., Minello, G. and Torsello, A., (2015). A Non-parametric Spectral Model for Graph Classification
Gasparetto, A., Minello, G. and Torsello, A., (2015). Non-parametric Spectral Model for Shape Retrieval