Learning Heterogeneous Graph Embedding with Metapath-Based Aggregation for Link Prediction
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.This leads to inaccurate node repre