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

Calls: Papers and Tutorials.


Follow Us Recordings on YouTube

Learning on Graphs Conference 2024

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.


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Guy Wolf

Associate professor, Université de Montréal, Mila

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Smita Krishnaswamy

Associate Professor, Yale University

Advisory Board


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Bastian Rieck

Principal Investigator, Institute of AI for Health, Helmholtz Munich

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Jian Tang

Assistant Professor, HEC Montréal, Mila

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Jie Tang

Professor, Tsinghua University

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Jure Leskovec

Professor, Stanford University

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Marinka Zitnik

Assistant Professor, Harvard University

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Michael Bronstein

Professor, University of Oxford

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Petar Veličković

Staff Research Scientist, DeepMind

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Pietro Liò

Full Professor, University of Cambridge

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Razvan Pascanu

Research Scientist, DeepMind

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Regina Barzilay

Professor, Massachusetts Institute of Technology (MIT)

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Shuiwang Ji

Professor, Texas A&M University

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Smita Krishnaswamy

Associate Professor, Yale University

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Soledad Villar

Assistant Professor, Johns Hopkins University (JHU)

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Stefanie Jegelka

Associate Professor, Massachusetts Institute of Technology (MIT)

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Stephan Günnemann

Professor, Technische Universität München (TUM)

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Thomas Kipf

Senior Research Scientist, Google Brain

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Wei Wang

Professor, University of California, Los Angeles

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Xavier Bresson

Associate Professor, National University of Singapore (NUS)

Organizing Committee


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Adeesh Kolluru

PhD Student, Carnegie Mellon University

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Adrian Arnaiz

PhD Student, ELLIS Alicante

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Alex Morehead

PhD Student, University of Missouri

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Arjun Subramonian

PhD Student, UCLA

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Chaitanya K. Joshi

PhD Student, University of Cambridge

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Guadalupe Gonzalez

Senior ML Scientist, Genentech

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Haitao Mao

PhD Student, Michigan State University

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Hannes Stärk

PhD Student, Massachusetts Institute of Technology (MIT)

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Iulia Duta

PhD Student, University of Cambridge

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Junhyun Lee

PhD Student, Korea University

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Luis Müller

PhD Student, RWTH Aachen University

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Mathieu Alain

PhD Student, University College London (UCL)

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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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Steve Azzolin

PhD Student, University of Trento

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Vignesh Ram Somnath

PhD Student, ETH Zurich

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Xiaoxin He

PhD Student, National University of Singapore

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Xinyu Yuan

PhD Student, Université de Montréal, Mila

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Yanbang Wang

PhD Student, Cornell University

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Yanqiao Zhu

PhD Student, University of California, Los Angeles

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Yu He

PhD Student, Stanford

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Yuanqi Du

PhD Student, Cornell University

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Yuguang Wang

Associate Professor, Shanghai Jiao Tong University (SJTU)

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!

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