Dr. N'Dah Jean KOUAGOU
Data Science / Heinz Nixdorf Institute
Research Associate
Machine Learning, Class Expression Learning, Knowledge Graphs
- E-Mail:
- ndah.jean.kouagou@uni-paderborn.de
- Phone:
- +49 5251 60-5198
- ORCID:
- 0000-0002-4217-897X
- Web:
- Homepage
- Homepage (Extern)
-
- Office Address:
-
Fürstenallee 11
33102 Paderborn - Room:
- F1.304
- Office hours:
Monday - Friday
9 am - 5 pm
Publications
Latest Publications
ATLAS: Adaptive Attribute-Aware Post-Hoc Alignment of Knowledge Graph Embeddings
D. Ekinci Birol, N.J. KOUAGOU, M. Sherif, A.-C. Ngonga Ngomo, in: IEEE International Conference on Data Mining (ICDM) 2026, 2026.
Benchmarking Knowledge Editing using Logical Rules
T. Moteu Ngoli, N.J. Kouagou, H.M.A. Zahera, A.-C. Ngonga Ngomo, in: Proceedings of the 24th International Semantic Web Conference (ISWC 2025), Springer, Cham, 2025, p. pp 41-56.
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.
Neural Reasoning for Robust Instance Retrieval in SHOIQ
L.M. Kamdem Teyou, L. Friedrichs, N.J. Kouagou, C. Demir, Y. Mahmood, S. Heindorf, A.-C. Ngonga Ngomo, in: 2025.
Universal Knowledge Graph Embeddings
N.J. KOUAGOU, C. Demir, H.M.A. Zahera, A. Wilke, S. Heindorf, J. Li, A.-C. Ngonga Ngomo, in: Companion Proceedings of the ACM on Web Conference 2024, ACM, 2024.
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