Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings
G. Pandit, M. Röder, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Tree-Based OWL Class Expression Learner over Large Graphs
C. Demir, M.O. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks
S. Kapoor, A. Sharma, M. Röder, C. Demir, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?
A. Memariani, M. Röder, A. Sharma, C. Demir, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Explainable Benchmarking through the Lense of Concept Learning
Q. Zhang, M. Röder, N. Srivastava, N.J. KOUAGOU, A.-C. Ngonga Ngomo, in: Proceedings of the Knowledge Capture Conference 2025, ACM, 2025.

A Topic Model for the Data Web
M. Röder, D. Kuchelev, A.-C. Ngonga Ngomo, in: F. Ortiz-Rodriguez, B. Villazón-Terrazas, S. Tiwari, C. Bobed (Eds.), Knowledge Graphs and Semantic Web, Springer Nature Switzerland, Cham, 2023, pp. 183–198.

Automating the Discovery of Linking Candidates
M. Röder, Automating the Discovery of Linking Candidates, Paderborn University, 2023.