BriefGPT.xyz
Nov, 2017
残差门控图卷积网络
Residual Gated Graph ConvNets
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Xavier Bresson, Thomas Laurent
TL;DR
本文研究了将深度学习方法推广到图论领域,通过对比RNN和ConvNet的效果,将门控边缘和残差技术用于设计神经网络对图学习任务进行分类,获得了比现有方法更高的准确率和更快的速度。
Abstract
graph-structured data
such as functional brain networks, social networks, gene regulatory networks, communications networks have brought the interest in generalizing
neural networks
to graph domains. In this pape
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