A Degeneracy Framework for Graph Similarity. - Giannis Nikolentzos; Polykarpos Meladianos; Stratis Limnios; Michalis Vazirgiannis (IJCAI, 2018)

Gravity-Inspired Graph Autoencoders for Directed Link Prediction. - Guillaume Salha; Stratis Limnios; Romain Hennequin; Viet-Anh Tran; Michalis Vazirgiannis (CIKM, 2019)

Rep the Set: Neural Networks for Learning Set Representations. - Konstantinos Skianis; Giannis Nikolentzos; Stratis Limnios; Michalis Vazirgiannis (AISTATS, 2020)

Hcore-Init: Neural Network Initialization based on Graph Degeneracy. - Stratis Limnios; George Dasoulas; Dimitrios M. Thilikos; Michalis Vazirgiannis (ICPR, 2020)

GraKeL: A Graph Kernel Library in Python. - Giannis Siglidis; Giannis Nikolentzos; Stratis Limnios; Christos Giatsidis; Konstantinos Skianis; Michalis Vazirgiannis (J. Mach. Learn. Res., 2020)

Edge degeneracy: Algorithmic and structural results. - Stratis Limnios; Christophe Paul; Joanny Perret; Dimitrios M. Thilikos (Theor. Comput. Sci., 2020)

Etude de Dégénérescence de Graph appliqué à l'Apprentissage Automatique Avancé et Résultats Théoriques relatifs. (Graph Degeneracy Studies for Advanced Learning Methods on Graphs and Theoretical Results). - Stratis Limnios (2020)

L2G2G: A Scalable Local-to-Global Network Embedding with Graph Autoencoders. - Ruikang Ouyang; Andrew Elliott; Stratis Limnios; Mihai Cucuringu; Gesine Reinert (COMPLEX NETWORKS (1), 2023)

SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. - Stratis Limnios; Praveen Selvaraj; Mihai Cucuringu; Carsten Maple; Gesine Reinert; Andrew Elliott (ECAI, 2024)