Over the past few years, algorithms of deep learning applied on the graph-structured data have been extensively researched. At the same time, many of them have also been used in industrial applications. Compared to the traditional neural network, the Graph Neural Network (GNN) can process large-scale data using its graph structure, including both the homogeneous graph and the heterogeneous graph, conduct the node recommendation, edge recommendation and the embedding generation.

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