Learning on Graphs Conference
What is LoG?
Now a fully in-person conference starting in 2025!
The LoG Conference covers research from areas broadly related to machine learning on graphs and geometry. After being held virtually in past years, LoG 2025 marks the transition to an in-person conference.
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!
The schedule is available now: we have an excited lineup of keynotes, oral presentations, tutorials and poster presentations, as well as poster sessions, social hours, and reward ceremony.
Local Meetups
The LoG community hosted a ânetworkâ 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.
Accepted Local Meetups for LoG 2025
Information on how to join each meetup can be found on each local meetupâs website. If there is no website for the event, information will be made available shortly. Please check back regularly for the latest details and instructions on how to attend.
Advisory Board
Organizing Committee
Alex Morehead
Hopper Postdoctoral Fellow, Lawrence Berkeley National Laboratory
Communications Chair
Ali Parviz
PhD Candidate, New Jersey Institute of Technology
Sponsorship Chair
Daniel Herbst
PhD Student, Technical University of Munich
Reviewing Chair
Daniele Malitesta
Postdoc Researcher, CentraleSupélec, Inria Université Paris-Saclay
Communications Chair
Fang Sun
PhD Student, University of California, Los Angeles
Tutorial Chair
Federico Errica
Senior Research Scientist, NEC Labs Europe
OpenReview Chair
Haitao Mao
PhD Student, Michigan State University
Outreach Chair
Harlin Lee
Assistant Professor, University of North Carolina at Chapel Hill
OpenReview Chair
Jian Kang
Assistant Professor, MBZUAI and University of Rochester
OpenReview Chair
Junhyun Lee
PhD Student, Korea University
Outreach Chair
Michelle Li
Postdoc Researcher, Harvard Medical School
Tutorial Chair
Srikar Mutnuri
PhD Student, University of Virginia
Infrastructure Chair
Steve Azzolin
PhD Student, University of Trento
Local Meetups Chair
Xinyu Yuan
PhD Student, Université de Montréal, Mila
Sponsorship Chair
Yanqiao Zhu
PhD Student, University of California, Los Angeles
In-person Logistics Chair
Yixuan He
Assistant Professor, Arizona State University
In-person Logistics Chair
Yu He
PhD Student, Stanford
General Chair
Yuanqi Du
PhD Student, Cornell University
In-person Logistics Chair
Yuguang Wang
Associate Professor, Shanghai Jiao Tong University (SJTU)
Local Meetups Chair
