Along with the growth of graph neural networks (GNNs). many researchers have adopted metapath-based GNNs to handle complex heterogeneous graph embedding. The conventional definition of a metapath only distinguishes whether there is a connection between nodes in the network schema. where the type of edge is ignored. https://www.roneverhart.com/MLB-Pop-Vinyl-Figure-Khris-Davis-Oakland-A-s-27/
Learning Heterogeneous Graph Embedding with Metapath-Based Aggregation for Link Prediction
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