LoG is an annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
10 - 12 December 2025
Arizona State University, Phoenix, USA
Coming Soon!
The LoG Conference covers research from areas broadly related to machine learning on graphs and geometry.
We have a proceedings track with papers published in Proceedings for Machine Learning Research (PMLR), and a non-archival extended abstract track. Submissions are made through OpenReview using our LaTeX style files. LoG has a special focus on review quality with review constructiveness being rated by authors and area chairs. The top reviewers receive monetary rewards!
Sponsorship information will be updated soon. Stay tuned!
LoG is grateful to the following companies for covering the costs associated with hosting a virtual, free-to-attend, and open conference. These include costs for: Zoom, Gathertown, and monetary reviewer rewards (unique to LoG, to incentivize high-quality reviews). –>
To cover the costs associated with organizing an in-person and virtual conference, we are looking for corporate sponsors. These include costs for: costs derived from the in-person conference, Zoom, Gathertown, monetary reviewer rewards (these are unique to LoG, to incentivize high-quality reviews), and designers for our content.
Contact us at logconference@googlegroups.com if your organization is interested in sponsoring LoG!