Graphs Across AI: From Structural Reasoning to Foundation Models

About this Conference

A workshop exploring the role of graphs in artificial intelligence, focusing on graph-based reasoning and representation across neural architectures, foundation models, and computational structures. The event aims to unify reasoning, learning, and computation across different scales and modalities.

Call for Papers

Graphs Across AI invites research, industry, and application contributions. Two submission formats are accepted: 1) Regular papers (up to 12 pages + references) presenting original, unpublished work, and 2) Discussion papers (up to 8 pages + references) including extended abstracts, position papers, system descriptions, or preliminary results. Submissions must be in English, PDF format, and follow the CEUR-ART 1-column style.

Important Dates

• Full Paper Submission February 27, 2026
• Notification March 27, 2026
• Camera Ready April 15, 2026
• Submission
• Conference dates 21-26 June 2026