Learning on Graphs Conference 2024
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.
26 - 29 November 2024
Virtual, free to attend
Community: Slack
Open Calls
- Call for Papers
- Call for Tutorials.
- Call for Local Meetups.
Local Meetups
In previous years, at the same time as the main virtual event, the LoG community hosted 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.
Here are the list of the locations and memories of the 2023 local meet-ups
It was amazing to witness the LoG community gather world-wide around the conference!
Program Chairs
Contact PCs: pcs@logconference.org.
Guy Wolf
Associate professor, Université de Montréal, Mila
Smita Krishnaswamy
Associate Professor, Yale University
Advisory Board
Bastian Rieck
Principal Investigator, Institute of AI for Health, Helmholtz Munich
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
Adeesh Kolluru
PhD Student, Carnegie Mellon University
Communications Chair
Adrian Arnaiz
PhD Student, ELLIS Alicante
Website Chair
Alex Morehead
PhD Student, University of Missouri
Communications Chair
Arjun Subramonian
PhD Student, UCLA
Outreach Chair
Chaitanya K. Joshi
PhD Student, University of Cambridge
General Chair
Guadalupe Gonzalez
Senior ML Scientist, Genentech
Sponsorship Chair
Haitao Mao
PhD Student, Michigan State University
Outreach Chair
Hannes Stärk
PhD Student, Massachusetts Institute of Technology (MIT)
OpenReview Chair
Iulia Duta
PhD Student, University of Cambridge
Reviewing Chair
Junhyun Lee
PhD Student, Korea University
Outreach Chair
Luis Müller
PhD Student, RWTH Aachen University
OpenReview Chair
Mathieu Alain
PhD Student, University College London (UCL)
Sponsorship Chair
Michelle Li
PhD Student, Harvard University
Tutorial Chair
Sofia Bourhim
PhD Student, École Nationale Supérieure d’Informatique et d’Analyse des Systèmes (ENSIAS)
Infrastructure Chair
Steve Azzolin
PhD Student, University of Trento
Local Meetups Chair
Vignesh Ram Somnath
PhD Student, ETH Zurich
Website Chair
Xiaoxin He
PhD Student, National University of Singapore
Local Meetups Chair
Xinyu Yuan
PhD Student, Université de Montréal, Mila
Sponsorship Chair
Yanbang Wang
PhD Student, Cornell University
Local Meetups Chair
Yanqiao Zhu
PhD Student, University of California, Los Angeles
Logistics Chair
Yu He
PhD Student, Stanford
General Chair
Yuanqi Du
PhD Student, Cornell University
Logistics Chair
Yuguang Wang
Associate Professor, Shanghai Jiao Tong University (SJTU)
General Chair
Sponsors
To cover the costs associated with organizing an in-person and virtual conference, we are looking for corporate sponsors. These include costs for: costs derived from the in-person conference, Zoom, Gathertown, monetary reviewer rewards (these are unique to LoG, to incentivize high-quality reviews), and designers for our content.
Contact us at logconference@googlegroups.com if your organization is interested in sponsoring LoG!