Caglar Demir

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 40

Top Topics

Incomplete Knowledge

Graph Embedding

Concept Learning

Description Logics

Top Venues

Publications

Daniel F. Leite, Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Interpretability Index Based on Balanced Volumes for Transparent Models and Agnostic Explainers. FUZZ (2024)
Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks. CoRR (2024)
Arnab Sharma, Daniel F. Leite, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Trading-Off Interpretability and Accuracy in Medical Applications: A Study Toward Optimal Explainability of Hoeffding Trees. FUZZ (2024)
Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo
Adaptive Stochastic Weight Averaging. CoRR (2024)
N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo
Universal Knowledge Graph Embeddings. WWW (Companion Volume) (2024)
Louis Mozart Kamdem, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Embedding Knowledge Graphs in Degenerate Clifford Algebras. CoRR (2024)
N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo
Universal Knowledge Graph Embeddings. CoRR (2023)
Caglar Demir, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, Stefan Heindorf
LitCQD: Multi-hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. ECML/PKDD (3) (2023)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Neural Class Expression Synthesis. ESWC (2023)
Julian Lienen, Caglar Demir, Eyke Hüllermeier
Conformal Credal Self-Supervised Learning. COPA (2023)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Learning Permutation-Invariant Embeddings for Description Logic Concepts. IDA (2023)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Neural Class Expression Synthesis. NeSy (2023)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Learning Permutation-Invariant Embeddings for Description Logic Concepts. CoRR (2023)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
. ECML/PKDD (4) (2023)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Neuro-Symbolic Class Expression Learning. IJCAI (2023)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras. ECML/PKDD (3) (2023)
Caglar Demir, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, Stefan Heindorf
LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. CoRR (2023)
Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo
EvoLearner: Learning Description Logics with Evolutionary Algorithms. WWW (2022)
Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
Kronecker Decomposition for Knowledge Graph Embeddings. CoRR (2022)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Hardware-agnostic computation for large-scale knowledge graph embeddings. Softw. Impacts 13 (2022)
Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo
Kronecker Decomposition for Knowledge Graph Embeddings. HT (2022)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings. CoRR (2022)
Caglar Demir, Anna Himmelhuber, Yushan Liu, Alexander Bigerl, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
Rapid Explainability for Skill Description Learning. ISWC (Posters/Demos/Industry) (2022)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Learning Concept Lengths Accelerates Concept Learning in ALC. ESWC (2022)
Julian Lienen, Caglar Demir, Eyke Hüllermeier
Conformal Credal Self-Supervised Learning. CoRR (2022)
Stefan Heindorf, Lukas Blübaum, Nick Düsterhus, Till Werner, Varun Nandkumar Golani, Caglar Demir, Axel-Cyrille Ngonga Ngomo
EvoLearner: Learning Description Logics with Evolutionary Algorithms. CoRR (2021)
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
MLCHECK- Property-Driven Testing of Machine Learning Classifiers. ICMLA (2021)
Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
A shallow neural model for relation prediction. ICSC (2021)
Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim
MLCheck- Property-Driven Testing of Machine Learning Models. CoRR (2021)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. CoRR (2021)
Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
Convolutional Hypercomplex Embeddings for Link Prediction. CoRR (2021)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Convolutional Complex Knowledge Graph Embeddings. ESWC (2021)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Prediction of concept lengths for fast concept learning in description logics. CoRR (2021)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Out-of-Vocabulary Entities in Link Prediction. CoRR (2021)
Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo
Convolutional Hypercomplex Embeddings for Link Prediction. ACML (2021)
Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo
A shallow neural model for relation prediction. CoRR (2021)
N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo
Neural Class Expression Synthesis. CoRR (2021)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
Convolutional Complex Knowledge Graph Embeddings. CoRR (2020)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
A Physical Embedding Model for Knowledge Graphs. CoRR (2020)
Caglar Demir, Axel-Cyrille Ngonga Ngomo
A Physical Embedding Model for Knowledge Graphs. JIST (2019)