Learning on Graphs Conference, 2023
We welcome papers from areas broadly related to learning on graphs and geometry. The LoG conference has a proceedings track with papers published in Proceedings for Machine Learning Research (PMLR) and a non-archival extended abstract track. Papers can be submitted through OpenReview using our LaTeX style files (download or Overleaf template). Papers are reviewed double-blind, and reviews are rated for their quality by authors and area chairs. The top reviewers receive high monetary rewards, as described below.
(All deadlines are “Anywhere On Earth”.)
August 18th, 2023: Abstract Submission Deadline (both Tracks)
August 21st, 2023: Submission Deadline (both Tracks)
October 7th, 2023: 2 Week Rebuttal Stage Starts
October 20th, 2023: Rebuttal Stage Ends, Authors-Reviewers Discussion Stage Starts
October 29th, 2023: Authors-Reviewers Discussion Stage Ends
November 13th, 2023: Final Decisions Released
November 20th, 2023: Camera Ready Deadline
November 27th, 2023: Conference Starts (Virtual, free to attend)
Accepted proceedings papers will be published in the Proceedings for Machine Learning Research (PMLR) and are eligible for our proceedings spotlights. Full proceedings papers can have up to 9 pages with unlimited pages for references and appendix.
Submitted papers cannot be already published or under review in any other archival venue. Upon acceptance of a paper, at least one of the authors must join the conference, or their paper will not be included in the proceedings.
Extended abstracts can be up to 4 pages with unlimited pages for references and appendix. The top papers are chosen for our abstract spotlights. Authors of accepted extended abstracts (non-archival submissions) retain full copyright of their work, and acceptance to LoG does not preclude publication of the same material at another venue. Also, submissions that are under review or have been recently published are allowed for submission. Authors must ensure that they are not violating any other venue dual submission policies.
What qualifies as an extended abstract? Extended abstracts need to provide novel insights or enable future research with novel insights. This can be through presenting new ideas/ways of thinking, leading to insightful discussion and feedback, or dissemination of new valuable resources. We also welcome “non-traditional research artifacts” as submissions to the extended abstract track, such as papers highlighting novel datasets, insightful negative results, exciting preliminary results that warrant rapid dissemination, or reproducibility studies.
Area chairs rate the quality of each review in terms of “constructivism.” The 20 highest-rated reviewers will receive an expected reward of $1500 funded by our generous sponsors. The exact number of reviewers that receive an award and the award amount is subject to change and might increase if more sponsor money is leftover than expected. The top reviewer (who is willing to do so) is invited to hold a talk about reviewing at the conference.
Submissions will be double-blind: reviewers cannot see author names when conducting reviews, and authors cannot see reviewer names. We use OpenReview to host papers and allow for public discussions that can be seen by all; comments that are posted by reviewers will remain anonymous. However, program chairs can know the reviewers’ identities and reviewers with particularly low-quality reviews can be excluded from future review processes (the review was flagged as low-quality and discussed by multiple area chairs and program chairs).
The existence of non-anonymous preprints (on arXiv or other online repositories, personal websites, social media) will not result in rejection. Authors may submit anonymized work to LoG that is already available as a preprint (e.g., on arXiv) without citing it.