MetaHGNIE: Meta-Path Induced Hypergraph Contrastive Learning in Heterogeneous Knowledge Graphs

The proposed MetaHGNIE framework utilizes hypergraph contrastive learning to better capture high-order interactions and estimate node importance in heterogeneous knowledge graphs.

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