scLGGCL: Label-Guided Graph Contrastive Learning for Single-Cell Fusion Clustering.
The framework integrates three modules: dual-reconstruction to fuse attribute-structure information, contrastive learning under label guidance to extract semantic similarities, and deep embedding clustering to enable iterative optimization.