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Apr, 2017
卷积神经网络在图结构数据上的推广
A Generalization of Convolutional Neural Networks to Graph-Structured Data
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Yotam Hechtlinger, Purvasha Chakravarti, Jining Qin
TL;DR
本研究介绍了一种卷积神经网络的泛化方法，使其适用于图形结构数据，使用随机游走揭示输入数据内部关系，通过学习底层图将其应用于许多标准分类或回归问题。
Abstract
This paper introduces a generalization of
convolutional neural networks
(CNNs) from low-dimensional grid data, such as images, to
graph-structured data
. We propose a novel
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