LoG 2026 Reviewer Application Form
Learning on Graphs (LoG) is an annual research conference that covers areas broadly related to machine learning on graphs and geometry. LoG 2026 will take place as an in-person conference in Boston, MA, United States in November 2026.

Relative to generalist machine learning conferences, we have a more focused topic, special emphasis on review quality via monetary rewards, and a lower load for reviewers. 

Having excellent and constructive reviewers is our highest priority -- we would be delighted if you worked with us and supported the graph learning community!

Submission process timeline (all deadlines are Anywhere on Earth):

  • July 29, 2026: Abstract Submission Deadline (Both Tracks)

  • August 1, 2026: Full Paper Submission Deadline (Both Tracks)

  • August 8 - 22, 2026: Review Period

  • August 25, 2026: Rebuttal Stage Starts

  • September 1, 2026: Rebuttal Stage Ends, Authors-Reviewers Discussion Stage Starts

  • September 8, 2026: Authors-Reviewers Discussion Stage Ends

  • September 13, 2026: Final Decisions Released

  • October 15, 2026: Camera Ready Deadline

  • November 20 - 22, 2026 (Tentative): Conference Dates

More details are available in our Call for Papers: https://logconference.org/cfp/
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Name *
Affiliation *
Email Address

Note: make sure this email address is associated with your OpenReview Profile, as the invitation will be sent to this address if you are selected. If you do not already have an OpenReview account, create one before submitting this form. *
Publication Profiles

List links to your Google Scholar, OpenReview, DBLP or others if available, one URL per line. Write "None" if you do not have such a profile. *
What is your current position? *
How many times/papers have you reviewed in the past for machine learning conferences (e.g., NeurIPS, ICLR, ICML, etc.)? *
How many papers are you expecting to review for LoG 2026? *
What area(s) are you willing to and able to review papers for?

A NON-exhaustive list of possible areas is in our call for papers: https://logconference.github.io/cfp/. List all such areas separated by commas. *
Are there any other experiences that qualify you as a reviewer for LoG 2026? 

Optional but highly recommended to answer if publication profile is None.
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