Publications

publications chronological order. Blue tags represent conference papers, pink represent journal papers, and gray represent currently unpublished work.

2020

  1. SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations
    Sebastian MežnarNada Lavrač, and Blaž Škrlj
    IEEE Access, 2020
  2. Predicting Generalization in Deep Learning via Metric Learning – PGDL Shared task
    Sebastian Mežnar, and Blaž Škrlj
    2020

2021

  1. Prediction of the Effects of Epidemic Spreading with Graph Neural Networks
    Sebastian MežnarNada Lavrač, and Blaž Škrlj
    In Complex Networks & Their Applications IX, 2021
  2. Transfer Learning for Node Regression Applied to Spreading Prediction
    Sebastian MežnarNada Lavrač, and Blaž Škrlj
    Complex Systems, 2021

2022

  1. Ontology Completion with Graph-Based Machine Learning: A Comprehensive Evaluation
    Sebastian Mežnar, Matej Bevec, Nada Lavrač, and Blaž Škrlj
    Machine Learning and Knowledge Extraction, 2022

2023

  1. Efficient generator of mathematical expressions for symbolic regression
    Sebastian MežnarSašo Džeroski, and Ljupčo Todorovski
    Machine Learning, Sep 2023