With machine learning conferences growing ever larger, and reviewing processes becoming increasingly elaborate, more data-driven insights into their workings are required. In this report, we present the results of a survey accompanying the first "Learning on Graphs" (LoG) Conference. The survey was directed to evaluate the submission and review process from different perspectives, including authors, reviewers, and area chairs alike.
@article{arxiv.2306.00586,
title = {Evaluating the "Learning on Graphs" Conference Experience},
author = {Bastian Rieck and Corinna Coupette},
journal= {arXiv preprint arXiv:2306.00586},
year = {2023}
}