BriefGPT.xyz
Nov, 2019
无监督带属性多重网络嵌入
Unsupervised Attributed Multiplex Network Embedding
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Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu
TL;DR
本文提出了一种面向具有属性的多重网络的简单而有效的无监督网络嵌入方法DMGI,利用深度图最大化(DGI)的思想来最大化图的局部信息和全局表示,与关系类型的特定节点嵌入之间的差异,处理多种关系类型的节点之间的差异性,并使用注意机制来过滤不必要的关系类型,经实验证明DMGI的性能优于现有的最先进方法。
Abstract
Nodes in a
multiplex network
are connected by multiple types of relations. However, most existing
network embedding
methods assume that only a single type of relation exists between nodes. Even for those that con
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