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.

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).

Learning Concept Lengths Accelerates Concept Learning in ALC
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: The Semantic Web, Springer International Publishing, Cham, 2022.

EvoLearner: Learning Description Logics with Evolutionary Algorithms
S. Heindorf, L. Blübaum, N. Düsterhus, T. Werner, V.N. Golani, C. Demir, A.-C. Ngonga Ngomo, in: WWW, ACM, 2022, pp. 818–828.

Convolutional Complex Knowledge Graph Embeddings
C. Demir, A.-C. Ngonga Ngomo, in: R. Verborgh, K. Hose, H. Paulheim, P.-Antoine Champin, M. Maleshkova, O. Corcho, P. Ristoski, M. Alam (Eds.), The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, Springer, 2021, pp. 409–424.

A shallow neural model for relation prediction
C. Demir, D. Moussallem, A.-C. Ngonga Ngomo, CoRR abs/2101.09090 (2021).

MLCheck- Property-Driven Testing of Machine Learning Models
A. Sharma, C. Demir, A.-C. Ngonga Ngomo, H. Wehrheim, CoRR abs/2105.00741 (2021).

Out-of-Vocabulary Entities in Link Prediction
C. Demir, A.-C. Ngonga Ngomo, CoRR abs/2105.12524 (2021).