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22 Publications
2026 | Conference Paper | LibreCat-ID: 63918 | 
Das, P., & Heindorf, S. (2026). Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features. Proceedings of the ACM Web Conference 2026 (WWW ’26). The Web Conference, Dubai, United Arab Emirates.
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| arXiv
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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2025 | Conference Paper | LibreCat-ID: 62707
Heindorf, S., & Neib, D. (2025). Assessing Natural Language Explanations of Relational Graph Neural Networks. Proceedings of the 34th ACM International Conference on Information and Knowledge Management. https://doi.org/10.1145/3746252.3760918
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2025 | Book Chapter | LibreCat-ID: 63507
Pandit, G., Röder, M., & Ngonga Ngomo, A.-C. (2025). Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings. In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-94575-5_4
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2025 | Conference Paper | LibreCat-ID: 63572
Demir, C., Yekini, M. O., Röder, M., Mahmood, Y., & Ngonga Ngomo, A.-C. (2025). Tree-Based OWL Class Expression Learner over Large Graphs. Lecture Notes in Computer Science. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Porto. https://doi.org/10.1007/978-3-032-06066-2_29
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2025 | Conference Paper | LibreCat-ID: 63575
Kapoor, S., Sharma, A., Röder, M., Demir, C., & Ngonga Ngomo, A.-C. (2025). Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-031-94575-5_15
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2025 | Conference Paper | LibreCat-ID: 63573
Memariani, A., Röder, M., Sharma, A., Demir, C., & Ngonga Ngomo, A.-C. (2025). Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help? Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-032-09527-5_6
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2025 | Conference Paper | LibreCat-ID: 63574
Zhang, Q., Röder, M., Srivastava, N., KOUAGOU, N. J., & Ngonga Ngomo, A.-C. (2025). Explainable Benchmarking through the Lense of Concept Learning. Proceedings of the Knowledge Capture Conference 2025. https://doi.org/10.1145/3731443.3771359
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2025 | Journal Article | LibreCat-ID: 63624
CQD-SHAP: Explainable Complex Query Answering via Shapley Values. (2025). https://doi.org/10.48550/ARXIV.2510.15623
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2025 | Book Chapter | LibreCat-ID: 63807
Dettelbach, A. (2025). Rechnen mit Beziehungen - operative Beziehungen erkennen, beschreiben und nutzen. Entwicklung einer digitalbasierten Lernumgebung mit der App Rechenfeld. In L. Schick, M. Platz, A. Lambert, & Gesellschaft für Mathematik (Eds.), Beiträge zum Mathematikunterricht 2025 (pp. 634–637). WTM - Verlag für wissenschaftliche Texte und Medien. https://doi.org/10.37626/GA9783959873307.0
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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: 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: 50797
Röder, M., Kuchelev, D., & Ngonga Ngomo, A.-C. (2023). A Topic Model for the Data Web. In F. Ortiz-Rodriguez, B. Villazón-Terrazas, S. Tiwari, & C. Bobed (Eds.), Knowledge Graphs and Semantic Web (pp. 183–198). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47745-4_14
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2023 | Dissertation | LibreCat-ID: 54607
Röder, M. (2023). Automating the Discovery of Linking Candidates. Paderborn University. https://doi.org/10.17619/UNIPB/1-1666
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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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