Learning on Graphs Conference 2025

תיאור

נקודות עיקריות

First in-person edition of the Learning on Graphs Conference after previous virtual events. Focus on machine learning on graphs and geometry with an emphasis on high-quality peer review. Keynote speakers include Aditi S. Krishnapriyan, Haggai Maron, Melanie Weber, and Michael Galkin. Program features oral presentations, tutorials, poster sessions, and social events. Proceedings track with papers published in the Proceedings for Machine Learning Research (PMLR). Non-archival extended abstract track for novel insights and preliminary results. Monetary rewards for top reviewers to incentivize high-quality reviews. Hosted by Arizona State University’s West Valley Campus. Special discounted group rates available at nearby hotels for attendees. Opportunities for both in-person and virtual participation to accommodate a global audience.