Yongduo Sui

Graph Contrastive Learning with Augmentations

2020 · arXiv (Cornell University)

Generalizable, transferrable, and robust representation learning on graph-structured data remains a challenge for current graph neural networks (GNNs). Unlike what has been developed for convolutional neural networks (CNNs) for image data, self-supervised learning and pre-training …