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).

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.

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.

Accelerating Concept Learning via Sampling
A. Baci, S. Heindorf, in: CIKM, 2023, pp. 3733–3737.

User Involvement in Training Smart Home Agents
L.N. Sieger, J. Hermann, A. Schomäcker, S. Heindorf, C. Meske, C.-C. Hey, A. Dofangün, in: International Conference on Human-Agent Interaction, ACM, 2022.