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.

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.

Inference over Unseen Entities, Relations and Literals on Knowledge Graphs
C. Demir, N.J. KOUAGOU, A. Sharma, A.-C. Ngonga Ngomo, Arxiv (2024).

Adaptive Stochastic Weight Averaging
C. Demir, A. Sharma, A.-C. Ngonga Ngomo, Arxiv (2024).

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Proceedings of the Thirty-ThirdInternational Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, 2024.

Embedding Knowledge Graphs in Degenerate Clifford Algebras
L.M. Kamdem Teyou, C. Demir, A.-C. Ngonga Ngomo, in: Frontiers in Artificial Intelligence and Applications, IOS Press, 2024.

Embedding Knowledge Graphs in Function Spaces
L.M. Kamdem Teyou, C. Demir, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, Boise, 2024.

Class Expression Learning with Multiple Representations
A.-C. Ngonga Ngomo, C. Demir, N.J. Kouagou, S. Heindorf, N. Karalis, A. Bigerl, in: Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023, pp. 272–286.

LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals
C. Demir, M. Wiebesiek, R. Lu, A.-C. Ngonga Ngomo, S. Heindorf, ECML PKDD (2023).

Neural Class Expression Synthesis in ALCHIQ(D)
N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.

Neural Class Expression Synthesis (Extended Abstract)
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena, Italy, CEUR-WS, 2023.

Learning Permutation-Invariant Embeddings for Description Logic Concepts
C. Demir, A.-C. Ngonga Ngomo, in: Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-La-Neuve, Belgium, April 12–14, 2023, Proceedings, 2023, pp. 103–115.

Neural Class Expression Synthesis
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), Springer International Publishing, 2023, pp. 209–226.

Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras
C. Demir, A.-C. Ngonga Ngomo, ECML-PKDD (2023).

Neuro-Symbolic Class Expression Learning
C. Demir, A.-C. Ngonga Ngomo, International Joint Conference on Artificial Intelligence (2023).

Kronecker Decomposition for Knowledge Graph Embeddings
C. Demir, J. Lienen, A.-C. Ngonga Ngomo, ArXiv:2205.06560 (2022).

Conformal Credal Self-Supervised Learning
J. Lienen, C. Demir, E. Hüllermeier, ArXiv:2205.15239 (2022).