Hierarchical Graph Masked AutoEncoders (Hello-GMAE): A Novel Multi-Scale GMAE Framework Designed to Deal with the Hierarchical Buildings inside Graph

Hierarchical Graph Masked AutoEncoders (Hello-GMAE): A Novel Multi-Scale GMAE Framework Designed to Deal with the Hierarchical Buildings inside Graph

In graph evaluation, the necessity for labeled knowledge presents a big hurdle for conventional supervised studying strategies, notably inside tutorial, social, and organic networks. To beat this limitation, Graph Self-supervised Pre-training (GSP) strategies have emerged, leveraging the intrinsic buildings and properties of graph knowledge to extract significant representations with out the necessity for labeled examples….