Jan Kralj

According to our database, Jan Kralj authored at least 19 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

DDeMON: Ontology-based function prediction by Deep Learning from Dynamic Multiplex Networks.

Jan Kralj, Blaz Skrlj, Ziva Ramsak, Nada Lavrac, Kristina Gruden

CoRR, 2023

2022

Deep node ranking for neuro-symbolic structural node embedding and classification.

Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac

Int. J. Intell. Syst., 2022

2021

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification.

Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak

Comput. Speech Lang., 2021

2020

Embedding-based Silhouette community detection.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Mach. Learn., 2020

2019

Towards Robust Text Classification with Semantics-Aware Recurrent Neural Architecture.

Blaz Skrlj, Jan Kralj, Nada Lavrac, Senja Pollak

Mach. Learn. Knowl. Extr., 2019

NetSDM: Semantic Data Mining with Network Analysis.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

J. Mach. Learn. Res., 2019

CBSSD: community-based semantic subgroup discovery.

Blaz Skrlj, Jan Kralj, Nada Lavrac

J. Intell. Inf. Syst., 2019

Conceptual Representations for Computational Concept Creation.

Ping Xiao, Hannu Toivonen, Oskar Gross, Amílcar Cardoso, João Correia, Penousal Machado, Pedro Martins, Hugo Gonçalo Oliveira, Rahul Sharma, Alexandre Miguel Pinto, Alberto Díaz, Virginia Francisco, Pablo Gervás, Raquel Hervás, Carlos León, Jamie Forth, Matthew Purver, Geraint A. Wiggins, Dragana Miljkovic, Vid Podpecan, Senja Pollak, Jan Kralj, Martin Znidarsic, Marko Bohanec, Nada Lavrac, Tanja Urbancic, Frank van der Velde, Stuart Adam Battersby

ACM Comput. Surv., 2019

Deep Node Ranking: an Algorithm for Structural Network Embedding and End-to-End Classification.

Blaz Skrlj, Jan Kralj, Janez Konc, Marko Robnik-Sikonja, Nada Lavrac

CoRR, 2019

Py3plex toolkit for visualization and analysis of multilayer networks.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Appl. Netw. Sci., 2019

Symbolic Graph Embedding Using Frequent Pattern Mining.

Blaz Skrlj, Nada Lavrac, Jan Kralj

Proceedings of the Discovery Science - 22nd International Conference, 2019

2018

HINMINE: heterogeneous information network mining with information retrieval heuristics.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

J. Intell. Inf. Syst., 2018

Targeted End-to-End Knowledge Graph Decomposition.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Proceedings of the Inductive Logic Programming - 28th International Conference, 2018

Py3plex: A Library for Scalable Multilayer Network Analysis and Visualization.

Blaz Skrlj, Jan Kralj, Nada Lavrac

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Community-Based Semantic Subgroup Discovery.

Blaz Skrlj, Jan Kralj, Anze Vavpetic, Nada Lavrac

Proceedings of the New Frontiers in Mining Complex Patterns - 6th International Workshop, 2017

2016

Explaining mixture models through semantic pattern mining and banded matrix visualization.

Prem Raj Adhikari, Anze Vavpetic, Jan Kralj, Nada Lavrac, Jaakko Hollmén

Mach. Learn., 2016

Network Ranking Assisted Semantic Data Mining.

Jan Kralj, Anze Vavpetic, Michel Dumontier, Nada Lavrac

Proceedings of the Bioinformatics and Biomedical Engineering, 2016

2015

Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics.

Jan Kralj, Marko Robnik-Sikonja, Nada Lavrac

Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Mining Text Enriched Heterogeneous Citation Networks.

Jan Kralj, Anita Valmarska, Marko Robnik-Sikonja, Nada Lavrac

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015