ECAI XAI-KRKG and UCEX-XAI 2025
Joint Proceedings of the ECAI 2025 Workshops: eXplainable AI, Knowledge Representation and Knowledge Graphs 2025 and User-Centered Explanations in XAI 2025 (ECAI XAI-KRKG and UCEX-XAI 2025)

Table of Contents

• Preface
  Summary: The workshops includes 11 contributions, submitted for peer-review. Out of the peer-reviewed papers, 10 papers were accepted for this volume, 5 as regular papers and 5 as a short paper. 1-3

Session 1: Knowledge Graphs and Structured Reasoning for Explainable AI

• An Empirical Study of the Consistency between Protocols for Evaluating Explanations of Predicted Links in Knowledge Graphs 4-13
  Roberto Barile, Claudia d’Amato, Leonardo Santovito, Nicola Fanizzi
• Towards Explainable Multi-Agent Systems with GraphRAG: A Guide to Explain Explanations in the Audit Domain 14-21
  Emanuel Slany, Jonas Amling, Alexander Frummet, Moritz Lang, Stephan Scheele
• ActiMine-GNN: Activation Mining and Interpretability in Graph Neural Networks 22-31
  Kislay Raj, Alessandra Mileo
• A Semantic Framework for Evaluating Post-hoc Explanations in Link Prediction 32-43
  Laura Balbi, Felix Bindt, Katja Breitenfelder, Riccardo Campi, Jitse De Smet, Claudia D'Amato
• The GraphBRAIN Knowledge Graph Framework for XAI through Multistrategy Reasoning 44-58
  Stefano Ferilli, Eleonora Bernasconi, Domenico Redavid

Session 2: Human-Centered and Generative Perspectives on Explainability

• Explainable Agency in Ad hoc Collaboration between Humans and Embodied AI 59-66
  Hasra Dodampegama, Mohan Sridharan
• A Fairness Analysis of GPT-2’s Interpretability with GNN-Generated Knowledge Graph Embeddings Delivered through Soft Prompts 67-78
  Ahmad Khalidi, Thomas Clemen
• Towards Explainable Commonsense Reasoning: Semantic Rule Generation from Text using LLMs 79-94
  Muhammad Raza Naqvi
• Enabling Transparent Cyber Threat Intelligence Combining Large Language Models and Domain Ontologies 95-108
  Luca Cotti, Anisa Rula, Devis Bianchini, Federico Cerutti
• Privacy-Preserving Visual Exploration of Healthcare Data with a Language Model Integration 109-118
  Michael Grabner, Peter Waldert, Benedikt Kantz, Tobias Schreck