Giannis Nikolentzos

giannis 

Assistant Professor
Department of Informatics and Telecommunications,
University of Peloponnese,
Terma Karaiskaki, Tripoli 22100, Greece.
E-mail: lastname [at] uop [DOT] gr

research   research   research

About me

I am an Assistant Professor at the Department of Informatics and Telecommunications of the University of Peloponnese. My research interests lie mostly in the field of graph representation learning and learning on structured data. Before joining the University of Peloponnese, I was a postdoctoral researcher at Ecole Polytechnique. I obtained my PhD in computer science from the Athens University of Economics and Business, where I was advised by Professor Michalis Vazirgiannis. Before that, I obtained an MSc in Artificial Intelligence from the University of Southampton and a Diploma in Electrical and Computer Engineering from the University of Patras.

A brief cv.

Research

My research interests include

  • Learning on Graphs

  • Graph Mining

  • Machine Learning

  • Artificial Intelligence

Recent Publications

  1. G. Michel, G. Nikolentzos, J. Lutzeyer, and M. Vazirgiannis, "Path Neural Networks: Expressive and Accurate Graph Neural Networks", In Proceedings of the 40th International Conference on Machine Learning, pp. 24737-24755, 2023. [pdf]

  2. G. Nikolentzos, M. Vazirgiannis, C. Xypolopoulos, M. Lingman, and E.G. Brandt, "Synthetic electronic health records generated with variational graph autoencoders", npj Digital Medicine, Volume 6, No. 1, (2023).

  3. K. Skianis, G. Nikolentzos, B. Gallix, R. Thiebaut, and G. Exarchakis, "Predicting COVID-19 positivity and hospitalization with multi-scale graph neural networks", Scientific Reports, Volume 13, No. 1, (2023).

  4. G. Nikolentzos and M. Vazirgiannis, "Geometric Random Walk Graph Neural Networks via Implicit Layers", In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, pp. 2035-2053, 2023. [pdf] [code]

  5. G. Nikolentzos, M. Chatzianastasis and M. Vazirgiannis, "Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations", In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, pp. 1037-1054, 2023. [pdf] [code]

Full list of publications.