Call for Papers GDSKA 2026 Workshop on Graph Data Science-Driven and Knowledge Analysis Co-located with IEEE eScience 2026

Dear Colleagues, sorry if you have received multiple emails.
We are pleased to invite you to submit your latest research to the International Workshop on Graph Data Science-Driven Knowledge Analysis (GDSKA 2026) Co-located with IEEE eScience 2026.
The workshop aims to bring together researchers and practitioners from academia and industry to discuss recent advances in graph data science, knowledge graphs, graph machine learning, graph databases, knowledge-aware artificial intelligence, and related technologies. It provides an excellent venue for presenting innovative ideas, exchanging experiences, and fostering new collaborations.
We welcome original contributions on topics including (but not limited to):

  *   Knowledge Graphs and Semantic Technologies
  *   Graph Neural Networks (GNNs)
  *   Graph Machine Learning and Representation Learning
  *   Graph Databases and Graph Analytics
  *   Explainable and Trustworthy AI for Graphs
  *   Knowledge Graph Completion and Reasoning
  *   Large Language Models and Knowledge Graph Integration
  *   Distributed and Scalable Graph Processing
  *   Applications of Graph AI in Healthcare, Cybersecurity, Finance, Industry, Smart Cities, and beyond

The workshop welcomes both theoretical and applied research contributions.
Submission details, important dates, and formatting guidelines are available on the workshop website:
https://gdska.github.io/
We would greatly appreciate it if you could also share this Call for Papers with colleagues, research groups, and students who may be interested.
We look forward to receiving your submissions and welcoming you to GDSKA 2026!
Best regards,

Publicity Chair
Rosario Napoli, Yannis Marketakis

Workshop Chairs
Gabriele Morabito, Dante D. Sánchez-Gallegos, Yannis Tzitzikas


GDSKA 2026 Workshop


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Rosario Napoli
Ph.D Student in Artificial Intelligence for Health and Life
Subject Expert in Database (Data Analysis Course)
MIFT Department
University of Messina
Viale F. Stagno d'Alcontres 31 - 98166 Messina (Italy).
email: [email protected]
web profiles: LinkedIn<https://www.linkedin.com/in/rosario-napoli-12926a26b?originalSubdomain=it>
publications:  ‪Rosario Napoli‬ - ‪Google Scholar‬<https://scholar.google.com/citations?user=V5WYmKAAAAAJ&hl=it>, Research Gate: Rosario Napoli<https://www.researchgate.net/profile/Rosario-Napoli-3>
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