2023
GALOPA: Graph Transport Learning with Optimal Plan Alignment
NeurIPS 2023poster
Self-supervised learning on graph aims to learn graph representations in an unsupervised manner. While graph contrastive learning (GCL - relying on graph augmentation for creating perturbation views of anchor graphs and maximizing/minimizing similarity for positive/negative pairs) is a popular self-…