Zixuan Zhang

This paper introduces st-Xprop, a graph learning method for spatial domain detection in multi-modal spatial transcriptomics, improving clustering accuracy and biological relevance.

This paper introduces XVGAE, a cross-view graph neural network that integrates gene expression, spatial coordinates, and histological images to identify spatial domains, achieving better clustering accuracy and biologically meaningful results.