LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
9th – 12th December 2022
Virtual, free to attend
All talks and presentations from LoG 2022 are now available on YouTube: main conference and tutorials.
The LoG Conference covers research from areas broadly related to machine learning on graphs and geometry. Registration for the virtual conference in December 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!
The schedule is available now: we have an excited lineup of keynotes, oral presentations, and tutorials, as well as poster sessions and social hours. Register and join our Slack to stay updated!
Graph AI to Enable Precision Medicine
Random Graph Models and Graph Neural Networks
Graph Neural Networks for Molecular Systems
Categories and Causality
Graph Representation Learning for Drug Discovery (Sponsor Talk)
Contact PCs: email@example.com. Full program committee list.
Check out open opportunities with our sponsors!