Call for Papers

Important dates

Paper Submission: March 6, 2025
Notification: April 3, 2025
Camera ready: April 17, 2025
Workshop: June 1 and 2 2025 (exact date to be confirmed)

Topics of interest for submission include, but are not limited to:

Techniques and best practices for building interpretable models using KGs.
Graph-Based Interpretability in Neural Networks
Leveraging KGs to infer causality and improve explanations in AI.
Generating human-understandable explanations from KGs for NLP applications.
Evaluation protocols, Metrics and benchmarks for assessing the quality and clarity of KG-based explanations.
User-Centric Explanations via KGs
Explainability in Dynamic and Temporal Knowledge Graphs
Case studies on using XAI with KGs in Industry (e.g. healthcare, finance, and more).
Bias and Fairness in Explainable Knowledge Graphs.
Hands-on tools and open-source libraries for implementing XAI and KGs in real-world settings.

Submission Details

Submissions must be written in English, prepared using the new CEUR-ART 1-column style, formatted in PDF, and submitted through EasyChair. XAI+KG 2025 invites submissions of research, industry, and application contributions. There are two submission formats:

Regular papers (max 12 pages including an appropriate number of references): must contain enough substance that they can be cited in other publications and may not have appeared before.
Short papers (max 6 pages including an appropriate number of references): results and ideas of interest to the XAI-KG audience, including position papers, system and application descriptions and presentations of preliminary results, an overview of papers accepted at another conference. In the latter case, extended abstracts must clearly state the venue where the paper has been accepted.

All accepted papers are expected to be presented at the conference and at least one author of each accepted paper must travel to the ESWC venue in person. Submissions should be single-blind so the names of the authors will be visible to the reviewers and should be indicated on the submitted files.