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13 Publications
2025 | Journal Article | LibreCat-ID: 54450 | 
Mindlin, Dimitry, Fabian Beer, Leonie Nora Sieger, Stefan Heindorf, Philipp Cimiano, Elena Esposito, and Axel-Cyrille Ngonga Ngomo. “Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches.” Artificial Intelligence Review 58, no. 3 (2025). https://doi.org/10.1007/s10462-024-11007-7.
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2024 | Conference Paper | LibreCat-ID: 54449 |
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.” In Companion Proceedings of the ACM on Web Conference 2024. ACM, 2024. https://doi.org/10.1145/3589335.3651978.
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2024 | Preprint | LibreCat-ID: 54448 |
Köhler, Dominik, and Stefan Heindorf. “Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks.” ArXiv:2405.12654, 2024.
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| arXiv
2024 | Conference Paper | LibreCat-ID: 52231 |
Blübaum, Lukas, and Stefan Heindorf. “Causal Question Answering with Reinforcement Learning.” In The World Wide Web Conference (WWW), 2204–2215. ACM, n.d. https://doi.org/10.1145/3589334.3645610.
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2024 | Conference Paper | LibreCat-ID: 56213 |
Sapkota, Rupesh, Dominik Köhler, and Stefan Heindorf. “EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs.” In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ’24),. Boise, Idaho, USA: ACM, 2024. https://doi.org/10.1145/3627673.3679904.
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2024 | Book Chapter | LibreCat-ID: 56214
Li, Jiayi, Sheetal Satheesh, Stefan Heindorf, Diego Moussallem, René Speck, and Axel-Cyrille Ngonga Ngomo. “AutoCL: AutoML for Concept Learning.” In Communications in Computer and Information Science. Cham: Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-63787-2_7.
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2023 | Book Chapter | LibreCat-ID: 47421 |
Kouagou, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis in ALCHIQ(D).” 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.
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2023 | Preprint | LibreCat-ID: 37937 |
Sieger, Leonie Nora, Stefan Heindorf, Lukas Blübaum, and Axel-Cyrille Ngonga Ngomo. “Explaining ELH Concept Descriptions through Counterfactual Reasoning.” ArXiv:2301.05109, 2023.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 50797
Röder, Michael, Denis Kuchelev, and Axel-Cyrille Ngonga Ngomo. “A Topic Model for the Data Web.” In Knowledge Graphs and Semantic Web, edited by Fernando Ortiz-Rodriguez, Boris Villazón-Terrazas, Sanju Tiwari, and Carlos Bobed, 183–198. Cham: Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-47745-4_14.
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2023 | Dissertation | LibreCat-ID: 54607
Röder, Michael. Automating the Discovery of Linking Candidates. Paderborn University, 2023. https://doi.org/10.17619/UNIPB/1-1666.
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2023 | Conference Paper | LibreCat-ID: 54612
KOUAGOU, N’Dah Jean, Stefan Heindorf, Caglar Demir, and Axel-Cyrille Ngonga Ngomo. “Neural Class Expression Synthesis (Extended Abstract).” In NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena, Italy. CEUR-WS, 2023.
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2023 | Conference Paper | LibreCat-ID: 46575 |
Baci, Alkid, and Stefan Heindorf. “Accelerating Concept Learning via Sampling.” In CIKM, 3733–3737, 2023. https://doi.org/10.1145/3583780.3615158.
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2022 | Conference Paper | LibreCat-ID: 34674 |
Sieger, Leonie Nora, Julia Hermann, Astrid Schomäcker, Stefan Heindorf, Christian Meske, Celine-Chiara Hey, and Ayşegül Doğangün. “User Involvement in Training Smart Home Agents.” In International Conference on Human-Agent Interaction. ACM, 2022. https://doi.org/10.1145/3527188.3561914.
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