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37 Publications
2025 | Journal Article | LibreCat-ID: 54450 | 
Mindlin, D., Beer, F., Sieger, L. N., Heindorf, S., Cimiano, P., Esposito, E., & Ngonga Ngomo, A.-C. (2025). Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches. Artificial Intelligence Review, 58(3), Article 81. https://doi.org/10.1007/s10462-024-11007-7
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2024 | Conference Paper | LibreCat-ID: 54449 |
KOUAGOU, N. J., Demir, C., Zahera, H. M. A., Wilke, A., Heindorf, S., Li, J., & Ngonga Ngomo, A.-C. (2024). Universal Knowledge Graph Embeddings. Companion Proceedings of the ACM on Web Conference 2024. Companion Proceedings of the ACM on Web Conference 2024, Singapore. https://doi.org/10.1145/3589335.3651978
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2024 | Preprint | LibreCat-ID: 54448 |
Köhler, D., & Heindorf, S. (2024). Utilizing Description Logics for Global Explanations of Heterogeneous Graph Neural Networks. In arXiv:2405.12654.
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| arXiv
2024 | Conference Paper | LibreCat-ID: 52231 |
Blübaum, L., & Heindorf, S. (n.d.). Causal Question Answering with Reinforcement Learning. The World Wide Web Conference (WWW), 2204–2215. https://doi.org/10.1145/3589334.3645610
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2024 | Conference Paper | LibreCat-ID: 56213 |
Sapkota, R., Köhler, D., & Heindorf, S. (2024). EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ’24),. 33rd ACM International Conference on Information and Knowledge Management, Boise, Idaho, USA. https://doi.org/10.1145/3627673.3679904
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2024 | Book Chapter | LibreCat-ID: 56214
Li, J., Satheesh, S., Heindorf, S., Moussallem, D., Speck, R., & Ngonga Ngomo, A.-C. (2024). AutoCL: AutoML for Concept Learning. In Communications in Computer and Information Science. The 2nd World Conference on eXplainable Artificial Intelligence, Malta, Valletta. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-63787-2_7
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2023 | Book Chapter | LibreCat-ID: 46460
Ngonga Ngomo, A.-C., Demir, C., Kouagou, N. J., Heindorf, S., Karalis, N., & Bigerl, A. (2023). Class Expression Learning with Multiple Representations. In Compendium of Neurosymbolic Artificial Intelligence (pp. 272–286). IOS Press.
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2023 | Journal Article | LibreCat-ID: 46248 |
Demir, C., Wiebesiek, M., Lu, R., Ngonga Ngomo, A.-C., & Heindorf, S. (2023). LitCQD: Multi-Hop Reasoning in Incomplete Knowledge Graphs with Numeric Literals. ECML PKDD. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Torino.
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2023 | Book Chapter | LibreCat-ID: 47421 |
Kouagou, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis in ALCHIQ(D). In Machine Learning and Knowledge Discovery in Databases: Research Track. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Turin. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43421-1_12
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2023 | Preprint | LibreCat-ID: 37937 |
Sieger, L. N., Heindorf, S., Blübaum, L., & Ngonga Ngomo, A.-C. (2023). Explaining ELH Concept Descriptions through Counterfactual Reasoning. In arXiv:2301.05109.
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| arXiv
2023 | Conference Paper | LibreCat-ID: 54612
KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis (Extended Abstract). NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena, Italy.
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2023 | Conference Paper | LibreCat-ID: 33734 |
KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2023). Neural Class Expression Synthesis. In C. Pesquita, E. Jimenez-Ruiz, J. McCusker, D. Faria, M. Dragoni, A. Dimou, R. Troncy, & S. Hertling (Eds.), The Semantic Web - 20th Extended Semantic Web Conference (ESWC 2023) (Vol. 13870, pp. 209–226). Springer International Publishing. https://doi.org/10.1007/978-3-031-33455-9_13
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2023 | Conference Paper | LibreCat-ID: 46575 |
Baci, A., & Heindorf, S. (2023). Accelerating Concept Learning via Sampling. CIKM, 3733–3737. https://doi.org/10.1145/3583780.3615158
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2022 | Conference Paper | LibreCat-ID: 33957
Deppe, S., Brandt, L., Brünninghaus, M., Papenkordt, J., Heindorf, S., & Tschirner-Vinke, G. (2022). AI-Based Assistance System for Manufacturing. ETFA, Stuttgart. https://doi.org/10.1109/ETFA52439.2022.9921520
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2022 | Book Chapter | LibreCat-ID: 33740 |
KOUAGOU, N. J., Heindorf, S., Demir, C., & Ngonga Ngomo, A.-C. (2022). Learning Concept Lengths Accelerates Concept Learning in ALC. In The Semantic Web. Springer International Publishing. https://doi.org/10.1007/978-3-031-06981-9_14
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2022 | Conference Paper | LibreCat-ID: 29290 |
Heindorf, S., Blübaum, L., Düsterhus, N., Werner, T., Golani, V. N., Demir, C., & Ngonga Ngomo, A.-C. (2022). EvoLearner: Learning Description Logics with Evolutionary Algorithms. WWW, 818–828. https://doi.org/10.1145/3485447.3511925
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2022 | Journal Article | LibreCat-ID: 29851 |
Pestryakova, S., Vollmers, D., Sherif, M., Heindorf, S., Saleem, M., Moussallem, D., & Ngonga Ngomo, A.-C. (2022). CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications. Scientific Data. https://doi.org/10.1038/s41597-022-01298-2
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2022 | Conference Paper | LibreCat-ID: 34674 |
Sieger, L. N., Hermann, J., Schomäcker, A., Heindorf, S., Meske, C., Hey, C.-C., & Doğangün, A. (2022). User Involvement in Training Smart Home Agents. International Conference on Human-Agent Interaction. HAI ’22: International Conference on Human-Agent Interaction, Christchurch, New Zealand. https://doi.org/10.1145/3527188.3561914
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2022 | Book Chapter | LibreCat-ID: 33738 |
Zahera, H. M. A., Heindorf, S., Balke, S., Haupt, J., Voigt, M., Walter, C., Witter, F., & Ngonga Ngomo, A.-C. (2022). Tab2Onto: Unsupervised Semantification with Knowledge Graph Embeddings. In The Semantic Web: ESWC 2022 Satellite Events. Springer International Publishing. https://doi.org/10.1007/978-3-031-11609-4_9
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2022 | Conference Paper | LibreCat-ID: 33739 |
Bondarenko, A., Wolska, M., Heindorf, S., Blübaum, L., Ngonga Ngomo, A.-C., Stein, B., Braslavski, P., Hagen, M., & Potthast, M. (2022). CausalQA: A Benchmark for Causal Question Answering. Proceedings of the 29th International Conference on Computational Linguistics, 3296–3308.
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