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Nov, 2018
分子中的关系发现和融合的光谱多图网络
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules
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Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor
TL;DR
本文探讨了谱图卷积网络（GCNs）在变量图结构和大小的情况下解决图分类任务的效力，提出了一种从多关系图中学习的新型多图网络，并成功地在多个化学分类基准测试中取得了竞争性的结果。
Abstract
spectral graph convolutional networks
(GCNs) are a generalization of convolutional networks to learning on
graph-structured data
. Applications of spectral GCNs have been successful, but limited to a few problems
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