BriefGPT.xyz
Apr, 2019
图内核: 一份综述
Graph Kernels: A Survey
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Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis
TL;DR
这篇综述文章介绍了在结构化数据学习中，图核函数及其相关发展十分引人瞩目和广泛应用。文章总结了近二十年来发展出的几十种图核函数，介绍了图核函数在社交网络及生物信息学等领域的成功应用，并提供了一些有关图核函数的应用和挑战的讨论。
Abstract
graph kernels
have attracted a lot of attention during the last decade, and have evolved into a rapidly developing branch of learning on
structured data
. During the past 20 years, the considerable
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