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.

翻译：随着机器学习会议规模不断扩大，审稿流程日益复杂，需要更多数据驱动的洞察来了解其运作机制。本报告呈现了首届"图学习"（LoG）会议同步开展的问卷调查结果。该调查旨在从作者、审稿人及领域主席等多方视角评估投稿与审稿流程。