Review for NeurIPS paper: Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models

This paper generated a lot of discussion and ultimately all referees agreed that the main ideas of the paper are interesting and well-motivated, while providing new directions for the graph learning literature. There are a few concerns on presentation issues, but these can be addressed in a camera version. For these reasons, the consensus is to recommend accepting this paper. The paper makes extensive use of k-ary prediction tasks but ignores a large body of literature considering that topic. Thus, for the camera version, the authors are encouraged to consider the following papers and references therein, and augment the related work and baselines as appropriate: -- Zhang et al.