Co-evolutionary Learning for Cognitive Computer Generated Entities. - Xander Wilcke; Mark Hoogendoorn; Jan Joris Roessingh (IEA/AIE (2), 2014)

The knowledge graph as the default data model for learning on heterogeneous knowledge. - Xander Wilcke; Peter Bloem; Victor de Boer (Data Sci., 2017)

User-centric pattern mining on knowledge graphs: An archaeological case study. - Xander Wilcke; Victor de Boer; M. T. M. de Kleijn; Frank van Harmelen; Henk J. Scholten (J. Web Semant., 2019)

Bottom-up Discovery of Context-aware Quality Constraints for Heterogeneous Knowledge Graphs. - Xander Wilcke; Maurice de Kleijn; Victor de Boer; Henk J. Scholten; Frank van Harmelen (KDIR, 2020)

End-to-End Entity Classification on Multimodal Knowledge Graphs. - W. X. Wilcke; Peter Bloem; Victor de Boer; R. H. van t Veer; F. A. H. van Harmelen (CoRR, 2020)

kgbench: A Collection of Knowledge Graph Datasets for Evaluating Relational and Multimodal Machine Learning. - Peter Bloem; Xander Wilcke; Lucas van Berkel; Victor de Boer (ESWC, 2021)

End-to-End Learning on Multimodal Knowledge Graphs. - W. X. Wilcke; Peter Bloem; Victor de Boer; R. H. van t Veer (CoRR, 2023)

Bottom-up Anytime Discovery of Generalised Multimodal Graph Patterns for Knowledge Graphs. - Xander Wilcke; Rick J. Mourits; Auke Rijpma; Richard Zijdeman (CoRR, 2024)

Framing is Mightier than the Sword: Detection of Episodic and Thematic Framing in News Media. - Panagiotis Mavridis; Oana Inel; Xander Wilcke; Mykola Makhortykh; Markus de Jong; Honorata Mazepus; Antoaneta Dimitrova; Jesse de Vos; Alessandro Bozzon; Tobias Kuhn (Hum. Comput., 2024)