Titlebook: Introduction to Graph Neural Networks; Zhiyuan Liu,Jie Zhou Book 2020 Springer Nature Switzerland AG 2020

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Graph Recurrent Networks,tep to diminish the restrictions from the vanilla GNN model and improve the effectiveness of the long-term information propagation across the graph. In this chapter, we will talk about several variants and we call them Graph Recurrent Networks (GRNs).

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Variants for Different Graph Types, graph format. However, there are many variants of graphs in the world and modeling different graph types requires different GNN structures. In this chapter, we investigate graph neural networks designed for specific graph types.

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