Evaluating the "Learning on Graphs" Conference Experience

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. The first "Learning on Graphs" (LoG) Conference (9-12 December, 2022) was remarkable in more ways than one: starting from scratch, the conference aims to be the place for graph learning research, making use of an advisory committee that consists of international experts in the field. Moreover, at is core, LoG wants to be known for its exceptional review quality.