Ranhui Yan

Noise Perturbation Based Graph Contrastive Learning via Flexible Filters for Node Classification

2024

Graph neural networks (GNNs), as a powerful deep learning framework for modeling graph-structured data, have attracted lots of attention recently. Most of existing GNNs need a lot of labeled data. However, constructing generalizable and robust …