SpaHDSRL: hierarchical dual-graph self-supervised representation learning for integrating spatially resolved multi-omics data
Abstract Spatial multi-omics technologies facilitate simultaneous measurement of multiple molecular modalities within their native spatial context, offering opportunities to characterize tissue organization and cellular heterogeneity. However, effective integration remains challenging because such data concurrently enc...