自适应图卷积神经网络

Jan, 2018

Adaptive Graph Convolutional Neural Networks

Ruoyu Li, Sheng Wang, Feiyun Zhu, Junzhou Huang

TL;DR本研究提出了一种基于自适应图的距离度量学习的广义灵活图卷积神经网络（Graph CNNs），在九个图结构数据集上，实现了收敛速度和预测精度方面的显著性能提升。

Abstract

graph convolutional neural networks (Graph CNNs) are generalizations of classical CNNs to handle graph data such as molecular data, point could and social networks. Current filters in graph CNNs are built for fix