50 citations · 86 across the 5 of their papers we have counts for
5 papers
DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks
Jan Kralj, Blaž Škrlj, Živa Ramšak +2
Biological systems can be studied at multiple levels of information, including gene, protein, RNA and different interaction networks levels. The goal of this work is to explore how…
Symbolic Graph Embedding using Frequent Pattern Mining
Blaz Škrlj, Jan Kralj, Nada Lavrač
Relational data mining is becoming ubiquitous in many fields of study. It offers insights into behaviour of complex, real-world systems which cannot be modeled directly using propo…
Embedding-based Silhouette Community Detection
Blaž Škrlj, Jan Kralj, Nada Lavrač
Mining complex data in the form of networks is of increasing interest in many scientific disciplines. Network communities correspond to densely connected subnetworks, and often rep…
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification
Blaž Škrlj, Jan Kralj, Janez Konc +2
Network node embedding is an active research subfield of complex network analysis. This paper contributes a novel approach to learning network node embeddings and direct node class…
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification
Blaž Škrlj, Matej Martinc, Jan Kralj +2
The use of background knowledge is largely unexploited in text classification tasks. This paper explores word taxonomies as means for constructing new semantic features, which may…