NeurIPS 2020

Scalable Graph Neural Networks via Bidirectional Propagation

Meta Review

This paper presents a solution to learn GNNs on large scale graphs efficiently, gaining substantial speed improvement without sacrificing model quality. A couple reviewers raised the issue that there is a parallel work published at KDD using a similar approach solving the same problem, however since the KDD paper is published after the submission of this paper this shouldn’t be used as evidence to discredit the contribution of this paper. On the other side I do hope the authors can include a discussion of this related work and improve the clarity issues raised by the reviewers in the final version.