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Author

Zhiping Cai

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Aug 2026

AMGC2: Rethinking Deep Graph Clustering With a High Attribute-Missing Ratio.

Attribute-missing deep graph clustering (DGC), which groups graph data containing samples with missing attributes, holds great potential to address the challenges of label scarcity and data absence in real-world scenarios. Among existing efforts, imputation-driven solutions (e.g., AMGC) employ the idea of classical imp...

Wen-Xuan Tu, Jie-Ren Cheng, Ren-Xiang Guan et al. · 0 citations

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