9.00-9.15 Welcome
9.15-10.00 Session 1 - Keynote
Paul Groth. Co-Constructing Explanations for AI Systems using Provenance - slides
10.00-10.30 Session 2 - Transparency and Explainability in Knowledge Graphs
Vidhya Kamakshi and Chandramani Chaudhary.
Towards Transparent Knowledge Graphs: A Position on Explainability in Link Prediction. - slides
Luisa Vollmer, Rébecca Loubet, Fabian Jirasek, Hans Hasse, Sophie Fellenz and Heike Leitte.
Enabling Transparent Problem Solving in Thermodynamics with Ontologies and Knowledge Graphs. - slides
10.30-11.00 Coffee break
11.00-12.30 Session 3 - Advances in Knowledge Graph Applications and Interpretability
Lukas Gehring, Moritz Blum, Basil Ell and Philipp Cimiano.
Path of Time: Explanations for Temporal Knowledge Graph Completion through Chronological Regulation - slides
Lenka Tětková, Teresa Dorszewski, Maria Mandrup Fogh, Ellen Marie Gaunby Jørgensen, Finn Årup Nielsen and Lars Kai Hansen.
Knowledge Graphs for Empirical Concept Retrieva. - slides
Manas Madine.
Attention Sink Is Sinking Causality: Causal Interpretation of Self-Attention in Decoder Language Models and Mitigating Attention Sink for Improved Interpretability -
Peter Kardos, Richárd Farkas and András London.
Human-in-the-loop Entity Set Expansion using Knowledge Graphs - slides
Victoria Firsanova and Yana Khlusova.
AGGILE: Automated Graph Generation for Inference and Language Exploration.
12.30-12.35 Closing