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Nov, 2018
关于图卷积网络中的滤波器尺寸
On Filter Size in Graph Convolutional Networks
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Dinh Van Tran, Nicolò Navarin, Alessandro Sperduti
TL;DR
本文介绍一种基于图卷积的滤波器方法，通过引入一个超参数为基本组件注入矩阵滤波器，用于提高深度图卷积神经网络预测性能。
Abstract
Recently, many researchers have been focusing on the definition of
neural networks
for graphs. The basic component for many of these approaches remains the
graph convolution
idea proposed almost a decade ago. In
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