Michael Weyns

According to our database, Michael Weyns authored at least 6 papers between 2020 and 2025.

Collaborative distances:

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

2025

Enabling Cross-Context Learning with Knowledge Graphs for Anomaly Detection in Communications Networks.

Michael Weyns, Sander Vanden Hautte, Annelies Lejon, Veerle Ledoux, Pieter Bonte, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

J. Netw. Syst. Manag., October, 2025

Explainable knowledge graph embeddings for industrial process monitoring & control.

Michael Weyns, Thibault Blyau, Bram Steenwinckel, Filip De Turck, Sofie Van Hoecke, Femke Ongenae

Inf. Fusion, 2025

2022

INK: knowledge graph embeddings for node classification.

Bram Steenwinckel, Gilles Vandewiele, Michael Weyns, Terencio Agozzino, Filip De Turck, Femke Ongenae

Data Min. Knowl. Discov., 2022

Leak localization in Water Distribution Networks By Directly Fitting the Learning Parameters of a Gaussian Naive Bayes Classifier.

Ganjour Mazaev, Michael Weyns, Filip Vancoillie, Guido Vaes, Femke Ongenae, Sofie Van Hoecke

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Walk Extraction Strategies for Node Embeddings with RDF2Vec in Knowledge Graphs.

Bram Steenwinckel, Gilles Vandewiele, Pieter Bonte, Michael Weyns, Heiko Paulheim, Petar Ristoski, Filip De Turck, Femke Ongenae

Proceedings of the Database and Expert Systems Applications - DEXA 2021 Workshops, 2021

2020

Conditional Constraints for Knowledge Graph Embeddings.

Michael Weyns, Pieter Bonte, Bram Steenwinckel, Filip De Turck, Femke Ongenae

Proceedings of the Workshop on Deep Learning for Knowledge Graphs (DL4KG2020) co-located with the 17th Extended Semantic Web Conference 2020 (ESWC 2020), Heraklion, Greece, June 02, 2020, 2020