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: Zoom, YouTube
Community: Slack, GatherTown
All talks and presentations from LoG 2023 are now available on YouTube: full playlist.
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!
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!
At the same time as the main virtual event, the LoG community will host a ‘network’ of local mini-conferences around the world. The objective is to connect participants belonging to the same geographic area, improving their social experience and fostering discussion and collaboration.
It was amazing to witness the LoG community gather world-wide around the conference!
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).