Learning on Graphs Conference 2025
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
What is LoG?
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!
Program Chairs
Contact PCs: pcs@logconference.org.
Christopher Morris
Assistant Professor, RWTH Aachen University
Ellen Vitercik
Assistant Professor, Stanford University
Mihai Cucuringu
Professor, University of California Los Angeles
Advisory Board
Bastian Rieck
Principal Investigator, Institute of AI for Health, Helmholtz Munich
Guy Wolf
Associate professor, Université de Montréal, Mila
Jian Tang
Assistant Professor, HEC Montréal, Mila
Jie Tang
Professor, Tsinghua University
Jure Leskovec
Professor, Stanford University
Marinka Zitnik
Assistant Professor, Harvard University
Michael Bronstein
Professor, University of Oxford
Petar Veličković
Staff Research Scientist, DeepMind
Pietro Liò
Full Professor, University of Cambridge
Razvan Pascanu
Research Scientist, DeepMind
Regina Barzilay
Professor, Massachusetts Institute of Technology (MIT)
Shuiwang Ji
Professor, Texas A&M University
Smita Krishnaswamy
Associate Professor, Yale University
Soledad Villar
Assistant Professor, Johns Hopkins University (JHU)
Stefanie Jegelka
Associate Professor, Massachusetts Institute of Technology (MIT)
Stephan Günnemann
Professor, Technische Universität München (TUM)
Thomas Kipf
Senior Research Scientist, Google Brain
Wei Wang
Professor, University of California, Los Angeles
Xavier Bresson
Associate Professor, National University of Singapore (NUS)
Organizing Committee
Adrian Arnaiz
PhD Student, ELLIS Alicante
General Chair
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
Florian Grötschla
PhD Student, ETH Zürich
Infrastructure Chair
Francesco Ferrini
PhD Student, University of Trento
Reviewing Chair
Haitao Mao
PhD Student, Michigan State University
Outreach Chair
Harlin Lee
Assistant Professor, University of North Carolina at Chapel Hill
OpenReview Chair
Jeongwhan Choi
PhD Candidate, Yonsei University
Website Chair
Jian Kang
Assistant Professor, University of Rochester
OpenReview Chair
Junhyun Lee
PhD Student, Korea University
Outreach Chair
Maria Shaukat
Machine Learning Engineer,
Sponsorship Chair
Matheo Angelo Pereira Dantas
Undergraduate Student, University of São Paulo
Local Meetups 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
Vignesh Ram Somnath
PhD Student, ETH Zurich
Website Chair
Xinyu Yuan
PhD Student, Université de Montréal, Mila
Sponsorship Chair
Yanbang Wang
PhD Student, Cornell University
General 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
Zecheng Zhang
Founding Engineer, Kumo.AI
Reviewing Chair
Sponsors
Sponsorship information will be updated soon. Stay tuned!
