Dual Consistency Constraint-Based Self-Supervised Representation Learning for Heterogeneous Graphs With Missing Attributes
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Missing attribute completion for unattributed nodes in heterogeneous graphs has received increasing attention, but previous works still suffer from the following issues: 1) they ignore the noise in the raw attributes, resulting in noise propagation and even in... ...