Node-Feature Convolution for Graph Convolutional Networks

Li Zhang,Heda Song,Nikolaos Aletras,Haiping Lu

Pattern Recognition（2022）

引用 14|浏览7

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摘要

•A novel strategy to construct a fixed-size feature map via neighbor selection and ordering.•A new node-feature convolution (NFC) layer for graph convolutional network (GCN).•Insightful studies on varying aggregators, neighborhood size, and model depth.•Demonstration of the efficacy of NFC-based GCNs on benchmark datasets.

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关键词

Graph,Representation learning,Graph convolutional networks,Convolutional neural networks

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