NeurIPS 2020

Node Classification on Graphs with Few-Shot Novel Labels via Meta Transformed Network Embedding

Meta Review

The paper studies an interesting problem and formulation which can be used for a few-shot classification and cool-start recommendation. The authors provided a novel transformation function and a training scheduler in the MAML framework which the reviewers appreciated. There was some concerns initially but the rebuttal did clarify some of the confusion. In the end, reviewers were convinced that paper offers some novel ideas and it will be a great baseline for few-shot node classification methods later.