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

no code implementations • 8 Feb 2023 • Jan Kralj, Blaž Škrlj, Živa Ramšak, Nada Lavrač, Kristina Gruden

Biological systems can be studied at multiple levels of information, including gene, protein, RNA and different interaction networks levels.

Symbolic Graph Embedding using Frequent Pattern Mining

1 code implementation • 29 Oct 2019 • Blaz Škrlj, Jan Kralj, Nada Lavrač

The proposed SGE approach on a venue classification task outperforms shallow node embedding methods such as DeepWalk, and performs similarly to metapath2vec, a black-box representation learner that can exploit node and edge types in a given graph.

Graph Embedding Inductive logic programming

Embedding-based Silhouette Community Detection

1 code implementation • 17 Jul 2019 • Blaž Škrlj, Jan Kralj, Nada Lavrač

Mining complex data in the form of networks is of increasing interest in many scientific disciplines.

Clustering Community Detection +1

Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification

1 code implementation • 11 Feb 2019 • Blaž Škrlj, Jan Kralj, Janez Konc, Marko Robnik-Šikonja, Nada Lavrač

Network node embedding is an active research subfield of complex network analysis.

Classification General Classification +3

tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification

1 code implementation • 1 Feb 2019 • Blaž Škrlj, Matej Martinc, Jan Kralj, Nada Lavrač, Senja Pollak

The use of background knowledge is largely unexploited in text classification tasks.

Few-Shot Learning General Classification +3