Learning on Graphs Conference 2023
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
LoG 2023 Recordings
All talks and presentations from LoG 2023 are now available on YouTube: full playlist.
Keynote Speakers
Andreas Loukas
Senior Principal Scientist, Prescient Design, Genentech, Roche
Jure Leskovec
Professor, Stanford University
Kyle Cranmer
Professor, University of Wisconsin-Madison
Stefanie Jegelka
Associate Professor, Massachusetts Institute of Technology (MIT)
Kristof Schütt
Senior Machine Learning Research Scientist, Pfizer
Schedule
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!
Local Meetups
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!
Program Chairs
Contact PCs: pcs@logconference.org. Full program committee list.
Soledad Villar
Assistant Professor, Johns Hopkins University (JHU)
Benjamin Chamberlain
Principal ML Engineer, Charm Therapeutics
Advisory Board
Regina Barzilay
Professor, Massachusetts Institute of Technology (MIT)
Xavier Bresson
Associate Professor, National University of Singapore (NUS)
Michael Bronstein
Professor, University of Oxford
Stephan Günnemann
Professor, Technische Universität München (TUM)
Stefanie Jegelka
Associate Professor, Massachusetts Institute of Technology (MIT)
Shuiwang Ji
Professor, Texas A&M University
Thomas Kipf
Senior Research Scientist, Google Brain
Jure Leskovec
Professor, Stanford University
Pietro Liò
Full Professor, University of Cambridge
Razvan Pascanu
Research Scientist, DeepMind
Bastian Rieck
Principal Investigator, Institute of AI for Health, Helmholtz Munich
Jian Tang
Assistant Professor, HEC Montréal, Mila
Jie Tang
Professor, Tsinghua University
Petar Veličković
Staff Research Scientist, DeepMind
Soledad Villar
Assistant Professor, Johns Hopkins University (JHU)
Marinka Zitnik
Assistant Professor, Harvard University
Wei Wang
Professor, University of California, Los Angeles
Smita Krishnaswamy
Associate Professor, Yale University
Organizing Committee
Yuanqi Du
PhD Student, Cornell University
Hannes Stärk
PhD Student, Massachusetts Institute of Technology (MIT)
Chaitanya K. Joshi
PhD Student, University of Cambridge
Andreea Deac
PhD Student, Université de Montréal, Mila
Iulia Duta
PhD Student, University of Cambridge
Joshua Robinson
PhD Student, Massachusetts Institute of Technology (MIT)
Yanqiao Zhu
PhD Student, University of California, Los Angeles
Kexin Huang
PhD Student, Stanford University
Michelle Li
PhD Student, Harvard University
Sofia Bourhim
PhD Student, École Nationale Supérieure d’Informatique et d’Analyse des Systèmes (ENSIAS)
Ilia Igashov
PhD Student, École Polytechnique Fédérale de Lausanne (EPFL)
Alexandre Duval
PhD Student, CentraleSupelec, Université Paris-Saclay
Mathieu Alain
PhD Student, University College London (UCL)
Dominique Beaini
Head of Graph Research, Valence & Adjunct Professor, Université de Montréal
Xinyu Yuan
PhD Student, Université de Montréal, Mila
Sponsors
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).
Gold
Silver
Bronze
