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, Twitter

LoG 2024 Camera Ready deadline: November 22nd, AoE


Register for LoG 2024 Previous recordings on YouTube

Learning on Graphs Conference 2024

LoG 2024 Schedule

The schedule is available now: we have an excited lineup of keynotes, oral presentations, tutorials and poster presentations, as well as poster sessions and social hours.

Keynote Speakers


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Alden Hung

Principal ML Researcher, Isomorphic Labs

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Xavier Bresson

Associate Professor, National University of Singapore (NUS)

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Yusu Wang

Professor, Halιcιoğlu Data Science Institute, University of California San Diego (UCSD)

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Zachary Ulissi

Research Scientist Meta FAIR, Adjunct Professor, Carnegie Mellon University (CMU)

Local Meetups

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.

Accepted Local Meetups for LoG 2024

Information on how to join each meetup can be found on each local meetup’s website. If there is no website for the event, information will be made available shortly. Please check back regularly for the latest details and instructions on how to attend.

Amsterdam

Netherlands

25/11/2024 - 26/11/2024

Oxford

UK

25/11/2024 - 26/11/2024

New York, Jersey City

US

26/11/2024 - 29/11/2024

Aachen

Germany

27/11/2024 - 28/11/2024

Tromsø

Norway

27/11/2024

Paris

France

29/11/2024

Suzhou

China

29/11/2024 - 01/12/2024

Siena

Italy

04/12/2024 - 06/12/2024

Uppsala

Sweden

11/02/2025 - 12/02/2025

Take a look to the memories from past Local Meetups!

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
Communications Chair

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Adrian Arnaiz

PhD Student, ELLIS Alicante
Website Chair

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Alex Morehead

PhD Student, University of Missouri
Communications Chair

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Arjun Subramonian

PhD Student, UCLA
Outreach Chair

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Chaitanya K. Joshi

PhD Student, University of Cambridge
General Chair

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Guadalupe Gonzalez

Senior ML Scientist, Genentech
Sponsorship Chair

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Haitao Mao

PhD Student, Michigan State University
Outreach Chair

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Hannes Stärk

PhD Student, Massachusetts Institute of Technology (MIT)
OpenReview Chair

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Iulia Duta

PhD Student, University of Cambridge
Reviewing Chair

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Junhyun Lee

PhD Student, Korea University
Outreach Chair

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Luis Müller

PhD Student, RWTH Aachen University
OpenReview Chair

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Mathieu Alain

PhD Student, University College London (UCL)
Sponsorship Chair

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Michelle Li

PhD Student, Harvard University
Tutorial Chair

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Sofia Bourhim

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

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Steve Azzolin

PhD Student, University of Trento
Local Meetups Chair

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Vignesh Ram Somnath

PhD Student, ETH Zurich
Website Chair

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Xiaoxin He

PhD Student, National University of Singapore
Local Meetups Chair

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Xinyu Yuan

PhD Student, Université de Montréal, Mila
Sponsorship Chair

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Yanbang Wang

PhD Student, Cornell University
Local Meetups Chair

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Yanqiao Zhu

PhD Student, University of California, Los Angeles
Logistics Chair

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Yu He

PhD Student, Stanford
General Chair

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Yuanqi Du

PhD Student, Cornell University
Logistics Chair

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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!

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