SAGCN: Self-adaptive Graph Convolutional Network for pneumonia detection

Junding Sun, Jianxiang Xue, Zhaozhao Xu, Ningshu Li, Chaosheng Tang, Lei Zhao, Bin Pu, Eugene Yu-Dong Zhang

Abstract: Highlights•A k<math><mi is="true">k</mi></math>-hop graph construction algorithm to solve repeated aggregation of nodes is proposed.•The self-adaptive graph convolutional network for pneumonia detection is proposed.•A novel Node Adaptive Range Fusion module (NARF) for node feature fusion is proposed.