Attention graph convolutional nets for esophageal contraction pattern recognition in high-resolution manometries

Zheng Wang, Lu Yan, Yuzhuo Dai, Fanggen Lu, Jie Zhang, Muzhou Hou, Xiaowei Liu

Abstract: Highlights•We designed efficient vigor propagation graphs while capturing the contraction and pressure propagation between vigor.•An interpretable mechanism explicitly models the relevant vigor propagation and to classify various vigor occurrences.•An efficient inference scheme over vigor propagation graphs by utilizing a GAT with a sparse spatial sampling strategy.•The introduced network has the potential to conduct contractile propagation reasoning over contractile propagation.•The proposed approach achieves state-of-the-art results on HRM images.