Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features
P. Das, S. Heindorf, in: Proceedings of the ACM Web Conference 2026 (WWW ’26), ACM, 2026.

Beyond One-Shot Explanations: A Systematic Literature Review of Dialogue-Based XAI Approaches
D. Mindlin, F. Beer, L.N. Sieger, S. Heindorf, P. Cimiano, E. Esposito, A.-C. Ngonga Ngomo, Artificial Intelligence Review 58 (2025).

CQD-SHAP: Explainable Complex Query Answering via Shapley Values
(2025).

Rechnen mit Beziehungen - operative Beziehungen erkennen, beschreiben und nutzen. Entwicklung einer digitalbasierten Lernumgebung mit der App Rechenfeld
A. Dettelbach, in: L. Schick, M. Platz, A. Lambert, Gesellschaft für Mathematik (Eds.), Beiträge zum Mathematikunterricht 2025 , WTM - Verlag für wissenschaftliche Texte und Medien, Münster, 2025, pp. 634–637.

Assessing Natural Language Explanations of Relational Graph Neural Networks
S. Heindorf, D. Neib, in: Proceedings of the 34th ACM International Conference on Information and Knowledge Management, ACM, 2025.

Evaluating Approximate Nearest Neighbour Search Systems on Knowledge Graph Embeddings
G. Pandit, M. Röder, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Tree-Based OWL Class Expression Learner over Large Graphs
C. Demir, M.O. Yekini, M. Röder, Y. Mahmood, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Robustness Evaluation of Knowledge Graph Embedding Models Under Non-targeted Attacks
S. Kapoor, A. Sharma, M. Röder, C. Demir, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Link Prediction Under Non-targeted Attacks: Do Soft Labels Always Help?
A. Memariani, M. Röder, A. Sharma, C. Demir, A.-C. Ngonga Ngomo, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.

Explainable Benchmarking through the Lense of Concept Learning
Q. Zhang, M. Röder, N. Srivastava, N.J. KOUAGOU, A.-C. Ngonga Ngomo, in: Proceedings of the Knowledge Capture Conference 2025, ACM, 2025.

Universal Knowledge Graph Embeddings
N.J. KOUAGOU, C. Demir, H.M.A. Zahera, A. Wilke, S. Heindorf, J. Li, A.-C. Ngonga Ngomo, in: Companion Proceedings of the ACM on Web Conference 2024, ACM, 2024.

Utilizing Description Logics for Global Explanations of Heterogeneous  Graph Neural Networks
D. Köhler, S. Heindorf, ArXiv:2405.12654 (2024).

Causal Question Answering with Reinforcement Learning
L. Blübaum, S. Heindorf, in: The World Wide Web Conference (WWW), ACM, n.d., pp. 2204–2215.

EDGE: Evaluation Framework for Logical vs. Subgraph Explanations for Node Classifiers on Knowledge Graphs
R. Sapkota, D. Köhler, S. Heindorf, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM ’24), ACM, Boise, Idaho, USA, 2024.

AutoCL: AutoML for Concept Learning
J. Li, S. Satheesh, S. Heindorf, D. Moussallem, R. Speck, A.-C. Ngonga Ngomo, in: Communications in Computer and Information Science, Springer Nature Switzerland, Cham, 2024.

Neural Class Expression Synthesis in ALCHIQ(D)
N.J. Kouagou, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: Machine Learning and Knowledge Discovery in Databases: Research Track, Springer Nature Switzerland, Cham, 2023.

Explaining ELH Concept Descriptions through Counterfactual Reasoning
L.N. Sieger, S. Heindorf, L. Blübaum, A.-C. Ngonga Ngomo, ArXiv:2301.05109 (2023).

A Topic Model for the Data Web
M. Röder, D. Kuchelev, A.-C. Ngonga Ngomo, in: F. Ortiz-Rodriguez, B. Villazón-Terrazas, S. Tiwari, C. Bobed (Eds.), Knowledge Graphs and Semantic Web, Springer Nature Switzerland, Cham, 2023, pp. 183–198.

Automating the Discovery of Linking Candidates
M. Röder, Automating the Discovery of Linking Candidates, Paderborn University, 2023.

Neural Class Expression Synthesis (Extended Abstract)
N.J. KOUAGOU, S. Heindorf, C. Demir, A.-C. Ngonga Ngomo, in: NeSy 2023, 17th International Workshop on Neural-Symbolic Learning and Reasoning, Certosa Di Pontignano, Siena, Italy, CEUR-WS, 2023.