93 citations · 391 across the 45 of their papers we have counts for
8 papers · 1 filter
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…
Patterns of Multiplex Layer Entanglement across Real and Synthetic Networks
Blaž Škrlj, Benjamin Renoust
Real world complex networks often exhibit multiplex structure, connecting entities from different aspects of physical systems such as social, transportation and biological networks…
Prediction Uncertainty Estimation for Hate Speech Classification
Kristian Miok, Dong Nguyen-Doan, Blaž Škrlj +2
As a result of social network popularity, in recent years, hate speech phenomenon has significantly increased. Due to its harmful effect on minority groups as well as on large comm…
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…
Language comparison via network topology
Blaž Škrlj, Senja Pollak
Modeling relations between languages can offer understanding of language characteristics and uncover similarities and differences between languages. Automated methods applied to la…
RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation
Blaž Škrlj, Andraž Repar, Senja Pollak
Keyword extraction is used for summarizing the content of a document and supports efficient document retrieval, and is as such an indispensable part of modern text-based systems. W…
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…