Local Augmentation

Introduction to Local Augmentation for Graph Neural Networks (LA-GNN) Local Augmentation for Graph Neural Networks, or LA-GNN, is a data augmentation technique used to enhance node features by its local subgraph structures. LA-GNN is used to improve the performance of Graph Neural Networks or GNNs that are used for graph-based machine learning tasks. What is Local Augmentation? Local augmentation is a technique that enhances the features of a node in a graph by using the subgraph structures