Multi-View Subgraph Neural Networks for Self-Supervised Learning with Scarce Labeled Data

The proposed Multi-View Subgraph Neural Networks (Muse) can effectively capture both local structure and long-range dependencies of labeled nodes to boost graph-based node classification performance under scarce labeled data.