Abstract: Graph data analysis has been used in various real-world applications to improve services or scientific research, which, however, may expose sensitive personal information. Differential ...
Abstract: Graph-based clustering has been extensively explored and applied due to its exceptional performance. However, most existing methods operate directly in the original high-dimensional space, ...
Graph Convolutional Networks (GCNs) are widely applied for spatial domain identification in spatial transcriptomics (ST), where node representations are learned by aggregating information from ...
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