Evaluating the "Learning on Graphs" Conference Experience
This provides insights for conference organizers and participants in the machine learning community, but it is incremental as it focuses on a specific conference.
The authors tackled the problem of understanding the workings of large machine learning conferences by conducting a survey at the first 'Learning on Graphs' Conference to evaluate its submission and review process from multiple perspectives, including authors, reviewers, and area chairs.
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.