Prediction of the effects of epidemic spreading with graph neural networks S Mežnar, N Lavrač, B Škrlj Complex Networks & Their Applications IX: Volume 1, Proceedings of the Ninth …, 2021 | 13 | 2021 |
Snore: Scalable unsupervised learning of symbolic node representations S Mežnar, N Lavrač, B Škrlj IEEE Access 8, 212568-212588, 2020 | 7 | 2020 |
Efficient generator of mathematical expressions for symbolic regression S Mežnar, S Džeroski, L Todorovski Machine Learning 112 (4), 4563–4596, 2023 | 3 | 2023 |
Link analysis meets ontologies: Are embeddings the answer? S Mežnar, M Bevec, N Lavrač, B Škrlj arXiv preprint arXiv:2111.11710, 2021 | 2 | 2021 |
Transfer Learning for Node Regression Applied to Spreading Prediction S Mežnar, N Lavrač, B Škrlj arXiv preprint arXiv:2104.00088, 2021 | 2 | 2021 |
Predicting Generalization in Deep Learning via Metric Learning--PGDL Shared task S Mežnar, B Škrlj arXiv preprint arXiv:2012.09117, 2020 | 1 | 2020 |
Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation S Mežnar, M Bevec, N Lavrač, B Škrlj Machine Learning and Knowledge Extraction 4 (4), 1107-1123, 2022 | | 2022 |
Učinkovit generativni model za algebrajske izraze in odkrivanje enačb: magistrsko delo S Mežnar Univerza v Ljubljani, Fakulteta za matematiko in fiziko, 2022 | | 2022 |
Modeliranje sloga igre košarkarske ekipe iz prostorskih podatkov: diplomsko delo: interdisciplinarni univerzitetni študijski program prve stopnje Računalništvo in matematika S Mežnar S. Mežnar, 2019 | | 2019 |