Post #669

Announcing the Learning on Graphs Conference A brand new venue for the Graph/Geometric Machine Learning community! Why? See the blogpost: https://michael-bronstein.medium.com/announcing-the-learning-on-graphs-conference-c63caed7347 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 (MIT), Xavier Bresson (NUS), Michael Bronstein (Oxford/Twitter), Stephan Günnemann (TUM), Stefanie Jegelka (MIT), Jure Leskovec (Stanford), Pietro Liò (Cambridge), Jian Tang (MILA/HEC Montreal), Jie Tang (Tsinghua), Petar Veličković (DeepMind), Soledad Villar (JHU), Marinka Zitnik (Harvard). Organizers: Yuanqi Du (DP Technology), Hannes Stärk (MIT), Derek Lim (MIT), Chaitanya Joshi (Cambridge), Andreea-Ioana Deac (Mila), Iulia Duta (Cambridge), Joshua Robinson (MIT). (edited)