XAI-KG 2026
2nd International Workshop on eXplainable AI and Knowledge Graphs (XAI-KG 2026)

Table of Contents

• Preface
  

This volume contains 8 accepted papers: 6 regular papers and 2 short papers.

Regular Papers

• ExamplE: Explaining Knowledge Graph Embedding Predictions with Influential Examples
  Adrianna Janik, Luca Costabello
• Knowledge-Graph-Grounded Multimodal Explanations for Trustworthy Time-Series Forecasting in DevOps Systems
  Łukasz Sobczak, Nur Keleşoğlu, Joanna Domańska
• Beyond Vector Proximity: Evaluating Semantic Cohesion in Knowledge Graph Embeddings
  Verdiana Schena, Simona Colucci, Francesco M. Donini, Catia Pesquita, Floriano Scioscia
• SAFER: Semantic Assessment of Feasible Explanations for Algorithmic Recourse
  Muhammed Ashrah, Ashwin Arun, Sahana Karthik, Raghava Mutharaju
• Explainability and Traceability of AI Systems through Provenance Tagging
  Devin De Silva, Henrique Santos, John S. Erickson, Deborah L. McGuinness
• Why the Robot Said No: Knowledge-Graph-Grounded Explanations for LLM-Based Robot Planning
  Nur Keleşoğlu, Łukasz Sobczak

Short Papers

• EFEMO-KG: A Knowledge Graph for Explanation Faithfulness Measures
  Danielle Villa, Deborah L. McGuinness
• Explainable Scientific Resource Recommendation through Aspect-based Relatedness over a Spatio-temporal Knowledge Graph
  Anna Brauer