A hierarchical, cluster-aware imputation method (DTRGC) that reweights feature propagation by cluster membership and imputes missing node attributes in stages improves deep graph clustering on attribute-missing graphs.
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Divide-Then-Rule: A Cluster-Driven Hierarchical Interpolator for Attribute-Missing Graphs
A hierarchical, cluster-aware imputation method (DTRGC) that reweights feature propagation by cluster membership and imputes missing node attributes in stages improves deep graph clustering on attribute-missing graphs.