Caglar Demir

59 papers A* 3A 2B 6C 3Journal 28Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Semantics-Aware Caching for Concept Learning.
CoRR
Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2025 — conf
Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?
ISWC (1)
Adel Memariani, Michael Röder, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2025 B conf
Neural Reasoning for Robust Instance Retrieval in SHOIQ.
K-CAP
Louis Mozart Kamdem Teyou, Luke Friedrichs, N'Dah Jean Kouagou, Caglar Demir, Yasir Mahmood, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
2025 J jnl
Neural Reasoning for Robust Instance Retrieval in 𝒮ℋ𝒪I𝒬.
CoRR
Louis Mozart Kamdem Teyou, Luke Friedrichs, N'Dah Jean Kouagou, Caglar Demir, Yasir Mahmood, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
2025 J jnl
OWLAPY: A Pythonic Framework for OWL Ontology Engineering.
CoRR
Alkid Baci, Luke Friedrichs, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2025 J jnl
Ontolearn - A Framework for Large-scale OWL Class Expression Learning in Python.
J. Mach. Learn. Res.
Caglar Demir, Alkid Baci, N'Dah Jean Kouagou, Leonie Nora Sieger, Stefan Heindorf, Simon Bin, Lukas Blübaum, Alexander Bigerl, Axel-Cyrille Ngonga Ngomo
2025 J jnl
Ontolearn-A Framework for Large-scale OWL Class Expression Learning in Python.
CoRR
Caglar Demir, Alkid Baci, N'Dah Jean Kouagou, Leonie Nora Sieger, Stefan Heindorf, Simon Bin, Lukas Blübaum, Alexander Bigerl, Axel-Cyrille Ngonga Ngomo
2025 B conf
Parameter Averaging in Link Prediction.
K-CAP
Rupesh Sapkota, Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2025 J jnl
Parameter Averaging in Link Prediction.
CoRR
Rupesh Sapkota, Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2025 — conf
Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks.
ESWC (1)
Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2025 — conf
Tree-Based OWL Class Expression Learner over Large Graphs.
ECML/PKDD (3)
Caglar Demir, Moshood Yekini, Michael Röder, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Adaptive Stochastic Weight Averaging.
CoRR
Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Embedding Knowledge Graph in Function Spaces.
CoRR
Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 A conf
Embedding Knowledge Graphs in Degenerate Clifford Algebras.
ECAI
Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Embedding Knowledge Graphs in Degenerate Clifford Algebras.
CoRR
Louis Mozart Kamdem, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 A conf
Embedding Knowledge Graphs in Function Spaces.
CIKM
Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 — conf
Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning.
ECML/PKDD (6)
Nikolaos Karalis, Alexander Bigerl, Caglar Demir, Liss Heidrich, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs.
CoRR
Caglar Demir, N'Dah Jean Kouagou, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
2024 — conf
Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers.
FUZZ
Daniel F. Leite, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 J jnl
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks.
CoRR
Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 A* conf
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling.
IJCAI
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 — conf
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees.
FUZZ
Arnab Sharma, Daniel F. Leite, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2024 — conf
Universal Knowledge Graph Embeddings.
WWW (Companion Volume)
N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo
2023 — ch.
Class Expression Learning with Multiple Representations.
Compendium of Neurosymbolic Artificial Intelligence
Axel-Cyrille Ngonga Ngomo, Caglar Demir, N'Dah Jean Kouagou, Stefan Heindorf, Nikolaos Karalis, Alexander Bigerl
2023 — conf
Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras.
ECML/PKDD (3)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 — conf
Conformal Credal Self-Supervised Learning.
COPA
Julian Lienen, Caglar Demir, Eyke Hüllermeier
2023 B conf
Learning Permutation-Invariant Embeddings for Description Logic Concepts.
IDA
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 J jnl
Learning Permutation-Invariant Embeddings for Description Logic Concepts.
CoRR
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 — —
Learning continuous representations for Knowledge Graphs.
Caglar Demir
2023 J jnl
LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals.
CoRR
Caglar Demir, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, Stefan Heindorf
2023 — conf
LitCQD: Multi-hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals.
ECML/PKDD (3)
Caglar Demir, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, Stefan Heindorf
2023 — conf
Neural Class Expression Synthesis in
ECML/PKDD (4)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 B conf
Neural Class Expression Synthesis.
ESWC
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 C conf
Neural Class Expression Synthesis.
NeSy
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 A* conf
Neuro-Symbolic Class Expression Learning.
IJCAI
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2023 J jnl
Universal Knowledge Graph Embeddings.
CoRR
N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo
2022 J jnl
Conformal Credal Self-Supervised Learning.
CoRR
Julian Lienen, Caglar Demir, Eyke Hüllermeier
2022 A* conf
EvoLearner: Learning Description Logics with Evolutionary Algorithms.
WWW
Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2022 J jnl
Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings.
CoRR
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2022 J jnl
Hardware-agnostic computation for large-scale knowledge graph embeddings.
Softw. Impacts
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2022 — conf
Kronecker Decomposition for Knowledge Graph Embeddings.
HT
Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
2022 J jnl
Kronecker Decomposition for Knowledge Graph Embeddings.
CoRR
Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
2022 B conf
Learning Concept Lengths Accelerates Concept Learning in ALC.
ESWC
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2022 — conf
Rapid Explainability for Skill Description Learning.
ISWC (Posters/Demos/Industry)
Caglar Demir, Anna Himmelhuber, Yushan Liu, Alexander Bigerl, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
2021 — conf
A shallow neural model for relation prediction.
ICSC
Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
2021 J jnl
A shallow neural model for relation prediction.
CoRR
Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
2021 B conf
Convolutional Complex Knowledge Graph Embeddings.
ESWC
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2021 C conf
Convolutional Hypercomplex Embeddings for Link Prediction.
ACML
Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
2021 J jnl
Convolutional Hypercomplex Embeddings for Link Prediction.
CoRR
Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
2021 J jnl
DRILL- Deep Reinforcement Learning for Refinement Operators in ALC.
CoRR
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2021 J jnl
EvoLearner: Learning Description Logics with Evolutionary Algorithms.
CoRR
Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2021 C conf
MLCHECK- Property-Driven Testing of Machine Learning Classifiers.
ICMLA
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
2021 J jnl
MLCheck- Property-Driven Testing of Machine Learning Models.
CoRR
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
2021 J jnl
Neural Class Expression Synthesis.
CoRR
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2021 J jnl
Out-of-Vocabulary Entities in Link Prediction.
CoRR
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2021 J jnl
Prediction of concept lengths for fast concept learning in description logics.
CoRR
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
2020 J jnl
A Physical Embedding Model for Knowledge Graphs.
CoRR
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2020 J jnl
Convolutional Complex Knowledge Graph Embeddings.
CoRR
Caglar Demir, Axel-Cyrille Ngonga Ngomo
2019 — conf
A Physical Embedding Model for Knowledge Graphs.
JIST
Caglar Demir, Axel-Cyrille Ngonga Ngomo