LoG 2023 Reviewer Sign-up Form

We are organizing the second Learning on Graphs (LoG) conference, and we are looking for reviewers to help us ensure the quality of the papers presented at the conference.

We have a special emphasis on review quality, a more focused conference topic, and a low reviewer load. Having excellent and constructive reviewers is our highest priority --- we would be delighted if you worked with us!

Reviews will be rated for their quality by authors and area chairs. The top reviewers will receive high monetary rewards!

As a reviewer, your responsibilities will include:

  • Reviewing papers assigned to you in a timely and constructive manner
  • Participating in discussion with authors and area chairs with the aim to help improve the papers
  • Making recommendations on whether the papers should be accepted, revised, or rejected

To be a reviewer, we expect that you meet the following criteria:
  • Have or be pursuing a higher degree in machine learning
  • Be willing to devote time and effort to reviewing duties
  • Have expertise in learning on graphs and geometry
  • Have experience in reviewing other top-tier venues (e.g., NeurIPS, ICML, and ICLR)

More details are available in our Call for Papers: https://logconference.org/cfp/
Name *
Openreview Email Address *
Google Scholar Profile
DBLP Profile
Personal Homepage
What is your current position? *
Have you served as a reviewer for a machine learning conference or journal before?
If yes, please describe your past experience in reviewing for machine learning venues: (e.g., ICML 2021/2022/2023)
How many papers are you expecting to review for LoG 2023?
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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/) *
Please provide any other relevant information about your qualifications as a reviewer, such as your experience in the field, your educational background, or your professional achievements. (Optional but highly recommended to answer if publication profile is none)
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