A cell clustering model for spatial transcripts that uses cell embedding obtained by graph neural networks can be applied to datasets from multiple platforms for cell type or subpopulation ...
In the domain of heterogeneous graph representation learning, traditional methodologies often rely excessively on manually crafted meta-paths and neighbor aggregation mechanisms when faced with ...
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