GGAC: Multi-relational image gated GCN with attention convolutional binary neural tree for identifying disease with chest X-rays

作者：

Highlights：

• Use Graph Convolutional Network to learn high-dimensional feature.

• Mining the discriminative features and multi-modal relations of images.

• Solve the problem of weight distribution in different neighborhoods.

• Image relations generate more image representations for images.

摘要

•Use Graph Convolutional Network to learn high-dimensional feature.•Mining the discriminative features and multi-modal relations of images.•Solve the problem of weight distribution in different neighborhoods.•Image relations generate more image representations for images.

论文关键词：Multi-relational graph,Gated graph convolutional network,Identifying disease,Attention transformer

论文评审过程：Received 28 October 2020, Revised 6 May 2021, Accepted 11 June 2021, Available online 12 June 2021, Version of Record 23 June 2021.

论文官网地址：https://doi.org/10.1016/j.patcog.2021.108113