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


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Learning on Graphs Conference

Call for Papers

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. 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!

(All deadlines are “Anywhere On Earth”.)

  • September 9th, 2022: Abstract Submission Deadline (both Tracks)
  • September 16th, 2022: Submission Deadline (both Tracks)
  • October 20th, 2022: 2 Week Paper Revision Period Starts
  • November 3rd, 2022: Paper Revision Period Ends
  • November 24th, 2022: Final Decisions Released
  • November 30th, 2022: Camera Ready Deadline
  • December 9th, 2022: Conference Starts (Virtual, free to attend)

Schedule

Coming Soon!

Program Chairs


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Bastian Rieck

Principal Investigator, Institute of AI for Health, Helmholtz Munich

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Razvan Pascanu

Research Scientist, DeepMind

Advisory Board


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Regina Barzilay

Professor, Massachusetts Institute of Technology (MIT)

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Xavier Bresson

Associate Professor, National University of Singapore (NUS)

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Michael Bronstein

Professor, University of Oxford & Head of Graph ML, Twitter

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Stephan Günnemann

Professor, Technische Universität München (TUM)

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Stefanie Jegelka

Associate Professor, Massachusetts Institute of Technology (MIT)

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Shuiwang Ji

Professor, Texas A&M University

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Jure Leskovec

Associate Professor, Stanford University

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Pietro Liò

Full Professor, University of Cambridge

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Jian Tang

Assistant Professor, HEC Montréal, Mila

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Jie Tang

Professor, Tsinghua University

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Petar Veličković

Staff Research Scientist, DeepMind

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Soledad Villar

Assistant Professor, Johns Hopkins University (JHU)

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Marinka Zitnik

Assistant Professor, Harvard University

Organizing Committee


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Yuanqi Du

Researcher, DP Technology

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Hannes Stärk

PhD Student, Massachusetts Institute of Technology (MIT)

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Derek Lim

PhD Student, Massachusetts Institute of Technology (MIT)

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Chaitanya K. Joshi

PhD Student, University of Cambridge

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Andreea Deac

PhD Student, Université de Montréal, Mila

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Iulia Duta

PhD Student, University of Cambridge

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Joshua Robinson

PhD Student, Massachusetts Institute of Technology (MIT)

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Gabriele Corso

PhD Student, Massachusetts Institute of Technology (MIT)

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Leonardo Cotta

PhD Student, Purdue University

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Yanqiao Zhu

PhD Student, University of California, Los Angeles

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Kexin Huang

PhD Student, Stanford University

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Michelle Li

PhD Student, Harvard University

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Sofia Bourhim

PhD Student, École Nationale Supérieure d’Informatique et d’Analyse des Systèmes (ENSIAS)

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Ilia Igashov

PhD Student, École Polytechnique Fédérale de Lausanne (EPFL)

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