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

no code implementations • 19 Apr 2024 • Zhenzhong Wang, Qingyuan Zeng, WanYu Lin, Min Jiang, Kay Chen Tan

While graph neural networks (GNNs) have become the de-facto standard for graph-based node classification, they impose a strong assumption on the availability of sufficient labeled samples.

Node Classification Self-Supervised Learning