KOUAGOU, N’Dah Jean, Caglar Demir, Hamada Mohamed Abdelsamee Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, and Axel-Cyrille Ngonga Ngomo. “Universal Knowledge Graph Embeddings.”https://doi.org/10.1145/3589335.3651978__In Companion Proceedings of the ACM on Web Conference 2024. ACM, 2024.https://doi.org/10.1145/3589335.3651978 .

KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis.”https://doi.org/10.1007/978-3-031-33455-9_13__In The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023), edited by Catia Pesquita, Ernesto Jimenez-Ruiz, Jamie McCusker, Daniel Faria, Mauro Dragoni, Anastasia Dimou, Raphael Troncy, and Sven Hertling, 13870:209–26. Springer International Publishing, 2023.https://doi.org/10.1007/978-3-031-33455-9_13 .

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Clifford Embeddings – A Generalized Approach for Embedding in Normed Algebras.” ECML-PKDD, 2023.

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Neuro-Symbolic Class Expression Learning.” International Joint Conference on Artificial Intelligence, 2023.

Ngonga Ngomo, Axel-Cyrille, Caglar Demir, N’Dah Jean Kouagou, Stefan Heindorf, Nikoloas Karalis, and Alexander Bigerl. “Class Expression Learning with Multiple Representations.” In Compendium of Neurosymbolic Artificial Intelligence, 272–286. IOS Press, 2023.

Demir, Caglar, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, and Stefan Heindorf. “LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals.” ECML PKDD, 2023.

Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis in ALCHIQ(D).”https://doi.org/10.1007/978-3-031-43421-1_12__In Machine Learning and Knowledge Discovery in Databases: Research Track. Cham: Springer Nature Switzerland, 2023.https://doi.org/10.1007/978-3-031-43421-1_12 .

Demir, Caglar, Julian Lienen, and Axel-Cyrille Ngonga Ngomo. “Kronecker Decomposition for Knowledge Graph Embeddings.” ArXiv:2205.06560, 2022.

Lienen, Julian, Caglar Demir, and Eyke Hüllermeier. “Conformal Credal Self-Supervised Learning.” ArXiv:2205.15239, 2022.

KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Learning Concept Lengths Accelerates Concept Learning in ALC.”https://doi.org/10.1007/978-3-031-06981-9_14__In The Semantic Web. Cham: Springer International Publishing, 2022.https://doi.org/10.1007/978-3-031-06981-9_14 .

Heindorf, Stefan, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “EvoLearner: Learning Description Logics with Evolutionary Algorithms.”https://doi.org/10.1145/3485447.3511925__In WWW, 818–28. ACM, 2022.https://doi.org/10.1145/3485447.3511925 .

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Convolutional Complex Knowledge Graph Embeddings.”https://doi.org/10.1007/978-3-030-77385-4‑24__In The Semantic Web - 18th International Conference, ESWC 2021, Virtual Event, June 6-10, 2021, Proceedings, edited by Ruben Verborgh, Katja Hose, Heiko Paulheim, Pierre-Antoine Champin, Maria Maleshkova, Oscar Corcho, Petar Ristoski, and Mehwish Alam, 12731:409–24. Lecture Notes in Computer Science. Springer, 2021.https://doi.org/10.1007/978-3-030-77385-4‑24 .

Demir, Caglar, Diego Moussallem, and Axel-Cyrille Ngonga Ngomo. “A Shallow Neural Model for Relation Prediction.” CoRR abs/2101.09090 (2021).

Sharma, Arnab, Caglar Demir, Axel-Cyrille Ngonga Ngomo, and Heike Wehrheim. “MLCheck- Property-Driven Testing of Machine Learning Models.” CoRR abs/2105.00741 (2021).

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Out-of-Vocabulary Entities in Link Prediction.” CoRR abs/2105.12524 (2021).

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “DRILL- Deep Reinforcement Learning for Refinement Operators in ALC.” CoRR abs/2106.15373 (2021).

Sharma, Arnab, Caglar Demir, Axel-Cyrille Ngonga Ngomo, and Heike Wehrheim. “MLCHECK–Property-Driven Testing of Machine Learning Classifiers.” In Proceedings of the 20th IEEE International Conference on Machine Learning and Applications (ICMLA). IEEE, n.d.

Demir, Caglar, Diego Moussallem, Stefan Heindorf, and Axel-Cyrille Ngonga Ngomo. “Convolutional Hypercomplex Embeddings for Link Prediction.” In The 13th Asian Conference on Machine Learning, ACML 2021, 2021.

Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “A Physical Embedding Model for Knowledge Graphs.” CoRR abs/2001.07418 (2020).