9.00-9.15 Welcome
9.15-10.15 Session 1 - Keynote: Tarek R. Besold. Explanations, Knowledge Graphs, and the Mind: A Cabinet of Curiosities - Slides
10.30-11.00 Coffee break
11.00-12.30 Session 2 - Knowledge Graphs and Structured Reasoning for Explainable AI
11.00-11.15
Roberto Barile, Claudia d'Amato, Leonardo Santovito and Nicola Fanizzi. An Empirical Study of the Consistency
between Protocols for Evaluating Explanations of Predicted Links in Knowledge Graphs.
11.15-11.30
Emanuel Slany, Jonas Amling, Alexander Frummet, Moritz Lang and Stephan Scheele. Towards Explainable Multi-
Agent Systems with GraphRAG: A Guide to Explain Explanations in the Audit Domain
11.30-11.45
Kislay Raj and Alessandra Mileo. ActiMine-GNN: Activation Mining and Interpretability in Graph Neural Networks.
11.45-12.00
Laura Balbi, Felix Bindt, Katja Breitenfelder, Riccardo Campi, Jitse De Smet and Claudia d'Amato. A Semantic
Framework for Evaluating Post-hoc Explanations in Link Prediction
12.00-12.15
Stefano Ferilli, Eleonora Bernasconi and Domenico Redavid. The GraphBRAIN Knowledge Graph Framework for XAI
through Multistrategy Reasoning
12.30-14.00 Lunch
14.00-15.30 Session 3 - Human-Centered and Generative Perspectives on Explainability
14.00-14.15
Hasra Dodampegama and Mohan Sridharan. Explainable Agency in Ad hoc Collaboration between Humans and
Embodied AI.
14.15-14.30
Ahmad Khalidi and Thomas Clemen. A Fairness Analysis of GPT-2’s Interpretability with GNN-Generated Knowledge
Graph Embeddings Delivered through Soft Prompts
14.30-14.45
Muhammad Raza Naqvi. Towards Explainable Commonsense Reasoning: Semantic Rule Generation from Text using
LLMs
14.45-15.00
Luca Cotti, Anisa Rula, Devis Bianchini and Federico Cerutti. Enabling Transparent Cyber Threat Intelligence
Combining Large Language Models and Domain Ontologies
15.00-15.15
Michael Grabner, Peter Waldert, Benedikt Kantz and Tobias Schreck. Neurodegen-Vis: LLM-based, Privacy-Preserving
Visual Exploration of Healthcare Data
15.15-15.30
Open Discussion: Challenges and Frontiers in Explainable AI