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.
27th – 30th November 2023
Virtual, free to attend
The LoG Conference covers research from areas broadly related to machine learning on graphs and geometry. Registration for the virtual conference is free!
We have a proceedings track with papers published in Proceedings for Machine Learning Research (PMLR), and a non-archival extended abstract track (LaTeX style files/Overleaf template). LoG has a special focus on review quality with review constructiveness being rated by authors and area chairs. The top reviewers receive high monetary rewards!
(All deadlines are “Anywhere On Earth”.)
Contact PCs: firstname.lastname@example.org. Full program committee list.
To cover the costs associated with organizing a virtual, free-to-attend, and open conference, we are looking for corporate sponsors. These include costs for: Zoom, Gathertown, monetary reviewer rewards (these are unique to LoG, to incentivize high-quality reviews), and designers for our content.
Contact us at email@example.com if your organization is interested in sponsoring LoG!