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M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning
Orthogonal to homogeneous graphs, the types of nodes and edges in heterogeneous graphs are diverse so that specialized graph contrastive learning methods are required.
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