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ORCIDCaglar Demir
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2020 – today
- 2024
[c24]Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Embedding Knowledge Graphs in Function Spaces. CIKM 2024: 1070-1079- [c23]Louis Mozart Kamdem Teyou
, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Embedding Knowledge Graphs in Degenerate Clifford Algebras. ECAI 2024: 1293-1300 - [c22]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: 1-10 - [c21]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: 1-10 - [c20]N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling. IJCAI 2024: 4335-4343 - [c19]Nikolaos Karalis, Alexander Bigerl, Caglar Demir, Liss Heidrich, Axel-Cyrille Ngonga Ngomo:
Evaluating Negation with Multi-way Joins Accelerates Class Expression Learning. ECML/PKDD (6) 2024: 199-216 - [c18]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: 1793-1797 - [i21]Louis Mozart Kamdem, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Embedding Knowledge Graphs in Degenerate Clifford Algebras. CoRR abs/2402.04870 (2024) - [i20]Caglar Demir, Arnab Sharma, Axel-Cyrille Ngonga Ngomo:
Adaptive Stochastic Weight Averaging. CoRR abs/2406.19092 (2024) - [i19]Sourabh Kapoor, Arnab Sharma, Michael Röder, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks. CoRR abs/2407.06855 (2024) - [i18]Louis Mozart Kamdem Teyou, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Embedding Knowledge Graph in Function Spaces. CoRR abs/2409.14857 (2024) - [i17]Caglar Demir, N'Dah Jean Kouagou, Arnab Sharma, Axel-Cyrille Ngonga Ngomo:
Inference over Unseen Entities, Relations and Literals on Knowledge Graphs. CoRR abs/2410.06742 (2024) - 2023
- [b1]Caglar Demir:
Learning continuous representations for Knowledge Graphs. University of Paderborn, Germany, 2023 - [c17]Julian Lienen, Caglar Demir, Eyke Hüllermeier:
Conformal Credal Self-Supervised Learning. COPA 2023: 214-233 - [c16]N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Neural Class Expression Synthesis. ESWC 2023: 209-226 - [c15]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Learning Permutation-Invariant Embeddings for Description Logic Concepts. IDA 2023: 103-115 - [c14]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Neuro-Symbolic Class Expression Learning. IJCAI 2023: 3624-3632 - [c13]N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Neural Class Expression Synthesis. NeSy 2023: 430-431 - [c12]N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Neural Class Expression Synthesis in ALCHIQ(D). ECML/PKDD (4) 2023: 196-212 - [c11]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras. ECML/PKDD (3) 2023: 567-582 - [c10]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: 617-633 - [p1]Axel-Cyrille Ngonga Ngomo, Caglar Demir, N'Dah Jean Kouagou, Stefan Heindorf, Nikolaos Karalis, Alexander Bigerl:
Class Expression Learning with Multiple Representations. Compendium of Neurosymbolic Artificial Intelligence 2023: 272-286 - [i16]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Learning Permutation-Invariant Embeddings for Description Logic Concepts. CoRR abs/2303.01844 (2023) - [i15]Caglar Demir, Michel Wiebesiek, Renzhong Lu, Axel-Cyrille Ngonga Ngomo, Stefan Heindorf:
LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. CoRR abs/2304.14742 (2023) - [i14]N'Dah Jean Kouagou, Caglar Demir, Hamada M. Zahera, Adrian Wilke, Stefan Heindorf, Jiayi Li, Axel-Cyrille Ngonga Ngomo:
Universal Knowledge Graph Embeddings. CoRR abs/2310.14899 (2023) - 2022
- [j1]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Hardware-agnostic computation for large-scale knowledge graph embeddings. Softw. Impacts 13: 100377 (2022) - [c9]N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Learning Concept Lengths Accelerates Concept Learning in ALC. ESWC 2022: 236-252 - [c8]Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo:
Kronecker Decomposition for Knowledge Graph Embeddings. HT 2022: 1-10 - [c7]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 - [c6]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: 818-828 - [i13]Caglar Demir, Julian Lienen, Axel-Cyrille Ngonga Ngomo:
Kronecker Decomposition for Knowledge Graph Embeddings. CoRR abs/2205.06560 (2022) - [i12]Julian Lienen, Caglar Demir, Eyke Hüllermeier:
Conformal Credal Self-Supervised Learning. CoRR abs/2205.15239 (2022) - [i11]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings. CoRR abs/2207.08544 (2022) - 2021
- [c5]Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo:
Convolutional Hypercomplex Embeddings for Link Prediction. ACML 2021: 656-671 - [c4]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Convolutional Complex Knowledge Graph Embeddings. ESWC 2021: 409-424 - [c3]Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim:
MLCHECK- Property-Driven Testing of Machine Learning Classifiers. ICMLA 2021: 738-745 - [c2]Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo:
A shallow neural model for relation prediction. ICSC 2021: 179-182 - [i10]Caglar Demir, Diego Moussallem, Axel-Cyrille Ngonga Ngomo:
A shallow neural model for relation prediction. CoRR abs/2101.09090 (2021) - [i9]Arnab Sharma, Caglar Demir, Axel-Cyrille Ngonga Ngomo, Heike Wehrheim:
MLCheck- Property-Driven Testing of Machine Learning Models. CoRR abs/2105.00741 (2021) - [i8]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Out-of-Vocabulary Entities in Link Prediction. CoRR abs/2105.12524 (2021) - [i7]Caglar Demir, Diego Moussallem, Stefan Heindorf, Axel-Cyrille Ngonga Ngomo:
Convolutional Hypercomplex Embeddings for Link Prediction. CoRR abs/2106.15230 (2021) - [i6]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
DRILL- Deep Reinforcement Learning for Refinement Operators in ALC. CoRR abs/2106.15373 (2021) - [i5]N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Prediction of concept lengths for fast concept learning in description logics. CoRR abs/2107.04911 (2021) - [i4]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 abs/2111.04879 (2021) - [i3]N'Dah Jean Kouagou, Stefan Heindorf, Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Neural Class Expression Synthesis. CoRR abs/2111.08486 (2021) - 2020
- [i2]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
A Physical Embedding Model for Knowledge Graphs. CoRR abs/2001.07418 (2020) - [i1]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
Convolutional Complex Knowledge Graph Embeddings. CoRR abs/2008.03130 (2020)
2010 – 2019
- 2019
- [c1]Caglar Demir, Axel-Cyrille Ngonga Ngomo:
A Physical Embedding Model for Knowledge Graphs. JIST 2019: 192-209
Coauthor Index
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