Learning on Graphs Conference
LoG is a new annual research conference that covers areas broadly related to machine learning on graphs and geometry, with a special focus on review quality.
9th – 12th December 2022
Virtual, free to attend
LoG 2022 Recordings
All talks and presentations from LoG 2022 are now available on YouTube: main conference and tutorials.
Schedule
The LoG Conference covers research from areas broadly related to machine learning on graphs and geometry. Registration for the virtual conference in December 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!
Keynote Speakers
Soledad Villar
Assistant Professor, Johns Hopkins University (JHU)
Random Graph Models and Graph Neural Networks
Stephan Günnemann
Professor, Technische Universität München (TUM)
Graph Neural Networks for Molecular Systems
Djork-Arné Clevert
Vice President, Machine Learning Research Hub, Worldwide Research, Development and Medical, Pfizer
Graph Representation Learning for Drug Discovery (Sponsor Talk)
Program Chairs
Contact PCs: pcs@logconference.org. Full program committee list.
Bastian Rieck
Principal Investigator, Institute of AI for Health, Helmholtz Munich
Razvan Pascanu
Research Scientist, DeepMind
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 & Head of Graph ML, Twitter
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
Associate Professor, Stanford University
Pietro Liò
Full Professor, University of Cambridge
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
Organizing Committee
Yuanqi Du
PhD Student, Cornell University
Hannes Stärk
PhD Student, Massachusetts Institute of Technology (MIT)
Derek Lim
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)
Gabriele Corso
PhD Student, Massachusetts Institute of Technology (MIT)
Leonardo Cotta
PhD Student, Purdue University
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)
Sponsors
Check out open opportunities with our sponsors!
Gold
Silver
Bronze
