Qirui Li

Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations

2020 · arXiv (Cornell University)

Graph convolution network (GCN) attracts intensive research interest with broad applications. While existing work mainly focused on designing novel GCN architectures for better performance, few of them studied a practical yet challenging problem: How to …