Prediction of the Effects of Epidemic Spreading with Graph Neural Networks. - Sebastian Meznar; Nada Lavrac; Blaz Skrlj (COMPLEX NETWORKS (1), 2020)

SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations. - Sebastian Meznar; Nada Lavrac; Blaz Skrlj (IEEE Access, 2020)

Predicting Generalization in Deep Learning via Metric Learning - PGDL Shared task. - Sebastian Meznar; Blaz Skrlj (CoRR, 2020)

Transfer Learning for Node Regression Applied to Spreading Prediction. - Sebastian Meznar; Nada Lavrac; Blaz Skrlj (Complex Syst., 2021)

Link Analysis meets Ontologies: Are Embeddings the Answer? - Sebastian Meznar; Matej Bevec; Nada Lavrac; Blaz Skrlj (CoRR, 2021)

Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation. - Sebastian Meznar; Matej Bevec; Nada Lavrac; Blaz Skrlj (Mach. Learn. Knowl. Extr., 2022)

Efficient generator of mathematical expressions for symbolic regression. - Sebastian Meznar; Saso Dzeroski; Ljupco Todorovski (Mach. Learn., 2023)

Correction to: efficient generator of mathematical expressions for symbolic regression. - Sebastian Meznar; Saso Dzeroski; Ljupco Todorovski (Mach. Learn., 2023)

Quantifying Behavioural Distance Between Mathematical Expressions. - Sebastian Meznar; Saso Dzeroski; Ljupco Todorovski (CoRR, 2024)

ICML Topological Deep Learning Challenge 2024: Beyond the Graph Domain. - Guillermo Bernárdez; Lev Telyatnikov; Marco Montagna; Federica Baccini; Mathilde Papillon; Miquel Ferriol Galmés; Mustafa Hajij; Theodore Papamarkou; Maria Sofia Bucarelli; Olga Zaghen; Johan Mathe; Audun Myers; et al. (CoRR, 2024)