GripNet: Graph information propagation on supergraph for heterogeneous graphs
Pattern Recognition(2023)
摘要
•A novel supergraph data structure to segregate a heterogeneous graph into interconnected, semantically-coherent subgraphs for efficient learning.•A new graph representation learning framework based on supergraph for heterogeneous graphs and graph-based data integration.•Extensive experiments on seven large-scale datasets for link prediction and node classification tasks.
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关键词
Graph representation learning,Heterogeneous graph,Data integration,Multi-relational link prediction,Node classification
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