MGCF-Net: a multi-view granular-ball contrastive fusion network for spatial transcriptomics clustering
Spatial domain identification from spatial transcriptomics (ST) data is essential for characterizing the spatial organization of complex tissues. Existing contrastive learning methods face a persistent trade-off: instance-level approaches are susceptible to false negatives, whereas cluster-level methods may overloo...