[visionlist] Announcement of the Learning on Graphs Conference

[Iulia Duta]

I think you all might be very interested in the new *Learning on Graphs
Conference that is happening* for the first time this December!

We think this new event will be valuable for the Graph/Geometric Machine
Learning community. Why? See our blogpost:
https://logconference.github.io/post/announcement/

The LoG Conference key facts:

- Covers work broadly related to machine learning on graphs and geometry

- Proceedings track published in PMLR

- Also has a non-archival extended abstract track

- Double blind review process on OpenReview

- Top reviewers receive monetary rewards

- First year: virtual December 9-12 2022, free to attend.

Call for papers: https://logconference.github.io/cfp/

Stay updated via Twitter: https://twitter.com/LogConference

Or LinkedIn: https://www.linkedin.com/company/log-conference

Advisory board:

Regina Barzilay <https://www.regina.csail.mit.edu/> (MIT), Xavier Bresson
<https://graphdeeplearning.github.io/authors/xavier-bresson/> (NUS), Michael
Bronstein <https://www.cs.ox.ac.uk/people/michael.bronstein/>
(Oxford/Twitter), Stephan Günnemann
<https://www.professoren.tum.de/en/guennemann-stephan> (TUM), Stefanie
Jegelka <https://people.csail.mit.edu/stefje/> (MIT), Jure Leskovec
<https://cs.stanford.edu/people/jure/> (Stanford), Pietro Liò
<https://www.cl.cam.ac.uk/~pl219/> (Cambridge), Jian Tang
<https://jian-tang.com/> (MILA/HEC Montreal), Jie Tang
<https://keg.cs.tsinghua.edu.cn/jietang/> (Tsinghua), Petar Veličković
<https://petar-v.com/> (DeepMind), Soledad Villar
<https://www.ams.jhu.edu/villar/> (JHU), Marinka Zitnik
<https://dbmi.hms.harvard.edu/people/marinka-zitnik> (Harvard).

Organizers:

Yuanqi Du <https://yuanqidu.github.io/> (DP Technology), Hannes Stärk
<https://hannes-stark.com/> (MIT), Derek Lim <https://cptq.github.io/>
(MIT), Chaitanya Joshi <http://chaitjo.com/> (Cambridge), Andreea-Ioana Deac
<https://andreeadeac22.github.io/> (Mila), Iulia Duta
<https://iuliaduta.github.io/> (Cambridge), Joshua Robinson
<https://joshrobinson.mit.edu/> (MIT).
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