A Physical Embedding Model for Knowledge Graphs. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (JIST, 2019)

Convolutional Hypercomplex Embeddings for Link Prediction. - Caglar Demir; Diego Moussallem; Stefan Heindorf; Axel-Cyrille Ngonga Ngomo (ACML, 2021)

Convolutional Complex Knowledge Graph Embeddings. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC, 2021)

MLCHECK- Property-Driven Testing of Machine Learning Classifiers. - Arnab Sharma; Caglar Demir; Axel-Cyrille Ngonga Ngomo; Heike Wehrheim (ICMLA, 2021)

A shallow neural model for relation prediction. - Caglar Demir; Diego Moussallem; Axel-Cyrille Ngonga Ngomo (ICSC, 2021)

MLCheck- Property-Driven Testing of Machine Learning Models. - Arnab Sharma; Caglar Demir; Axel-Cyrille Ngonga Ngomo; Heike Wehrheim (CoRR, 2021)

Out-of-Vocabulary Entities in Link Prediction. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (CoRR, 2021)

DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (CoRR, 2021)

Prediction of concept lengths for fast concept learning in description logics. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (CoRR, 2021)

Learning Concept Lengths Accelerates Concept Learning in ALC. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC, 2022)

Kronecker Decomposition for Knowledge Graph Embeddings. - Caglar Demir; Julian Lienen; Axel-Cyrille Ngonga Ngomo (HT, 2022)

Rapid Explainability for Skill Description Learning. - Caglar Demir; Anna Himmelhuber; Yushan Liu 002; Alexander Bigerl; Diego Moussallem; Axel-Cyrille Ngonga Ngomo (ISWC (Posters/Demos/Industry), 2022)

EvoLearner: Learning Description Logics with Evolutionary Algorithms. - Stefan Heindorf; Lukas Blübaum; Nick Düsterhus; Till Werner; Varun Nandkumar Golani; Caglar Demir; Axel-Cyrille Ngonga Ngomo (WWW, 2022)

Hardware-agnostic computation for large-scale knowledge graph embeddings. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (Softw. Impacts, 2022)

Conformal Credal Self-Supervised Learning. - Julian Lienen; Caglar Demir; Eyke Hüllermeier (COPA, 2023)

Neural Class Expression Synthesis. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC, 2023)

Learning Permutation-Invariant Embeddings for Description Logic Concepts. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (IDA, 2023)

Neuro-Symbolic Class Expression Learning. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (IJCAI, 2023)

Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras. - Caglar Demir; Axel-Cyrille Ngonga Ngomo (ECML/PKDD (3), 2023)

LitCQD: Multi-hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. - Caglar Demir; Michel Wiebesiek; Renzhong Lu; Axel-Cyrille Ngonga Ngomo; Stefan Heindorf (ECML/PKDD (3), 2023)

Neural Class Expression Synthesis in ALCHIQ(D). - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ECML/PKDD (4), 2023)

Learning continuous representations for Knowledge Graphs. - Caglar Demir (2023)

Class Expression Learning with Multiple Representations. - Axel-Cyrille Ngonga Ngomo; Caglar Demir; N'Dah Jean Kouagou; Stefan Heindorf; Nikolaos Karalis; Alexander Bigerl (Compendium of Neurosymbolic Artificial Intelligence, 2023)

Embedding Knowledge Graphs in Function Spaces. - Louis Mozart Kamdem Teyou; Caglar Demir; Axel-Cyrille Ngonga Ngomo (CIKM, 2024)

Embedding Knowledge Graphs in Degenerate Clifford Algebras. - Louis Mozart Kamdem Teyou; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ECAI, 2024)

Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. - Daniel F. Leite; Arnab Sharma; Caglar Demir; Axel-Cyrille Ngonga Ngomo (FUZZ, 2024)

Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. - Arnab Sharma; Daniel F. Leite; Caglar Demir; Axel-Cyrille Ngonga Ngomo (FUZZ, 2024)

ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling. - N'Dah Jean Kouagou; Stefan Heindorf; Caglar Demir; Axel-Cyrille Ngonga Ngomo (IJCAI, 2024)

Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning. - Nikolaos Karalis; Alexander Bigerl; Caglar Demir; Liss Heidrich; Axel-Cyrille Ngonga Ngomo (ECML/PKDD (6), 2024)

Universal Knowledge Graph Embeddings. - N'Dah Jean Kouagou; Caglar Demir; Hamada M. Zahera; Adrian Wilke; Stefan Heindorf; Jiayi Li; Axel-Cyrille Ngonga Ngomo (WWW (Companion Volume), 2024)

Adaptive Stochastic Weight Averaging. - Caglar Demir; Arnab Sharma; Axel-Cyrille Ngonga Ngomo (CoRR, 2024)

Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks. - Sourabh Kapoor; Arnab Sharma; Michael Röder; Caglar Demir; Axel-Cyrille Ngonga Ngomo (CoRR, 2024)

Embedding Knowledge Graph in Function Spaces. - Louis Mozart Kamdem Teyou; Caglar Demir; Axel-Cyrille Ngonga Ngomo (CoRR, 2024)

Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. - Caglar Demir; N'Dah Jean Kouagou; Arnab Sharma; Axel-Cyrille Ngonga Ngomo (CoRR, 2024)

Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks. - Sourabh Kapoor; Arnab Sharma; Michael Röder; Caglar Demir; Axel-Cyrille Ngonga Ngomo (ESWC (1), 2025)