TypeBandit allocates a global sampling budget at the node-type level via bandits to supply type summaries as contextual signals for attribute completion, delivering dataset-dependent gains when plugged into standard heterogeneous GNNs like R-GCN and HGT.
HINormer: Representation learning on heterogeneous information networks with graph transformer,
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TypeBandit: Type-Level Context Allocation and Reweighting for Effective Attribute Completion in Heterogeneous Graph Neural Networks
TypeBandit allocates a global sampling budget at the node-type level via bandits to supply type summaries as contextual signals for attribute completion, delivering dataset-dependent gains when plugged into standard heterogeneous GNNs like R-GCN and HGT.