Graph self-supervised learning based on frequency corruption
arXiv:2604.15699v1 Announce Type: new
Abstract: Graph self-supervised learning can reduce the need for labeled graph data and has been widely used in recommendation, social networks, and other web applications. However, existing methods often underuse…