Graph neural network based on graph kernel: A survey

Lixiang Xu, Jiawang Peng, Xiaoyi Jiang, Enhong Chen, Bin Luo

Abstract: Highlights•We analyze the complementarity between graph kernel and graph neural network.•We describe a novel graph neural network method based on graph kernel.•We summarize the models in terms of expressiveness, performance, and application.•We organize classification experiments to illustrate the advantages of this method.•We summarize and envision future research directions.