BriefGPT.xyz
Mar, 2018
基于相似性测度的通用图嵌入
VERSE: Versatile Graph Embeddings from Similarity Measures
HTML
PDF
Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Emmanuel Müller
TL;DR
本文提出了一种可将网络信息嵌入到低维向量空间中进行链接预测、分类和可视化等任务的方法,该方法意在通过对选定的点对点相似度测量分布进行显式标定的图嵌入,其可通过训练单层神经网络得到,试验表明本方法在相似度测量方面表现出色,时间和空间效率更高。
Abstract
Embedding a
web-scale information network
into a
low-dimensional vector space
facilitates tasks such as link prediction, classification, and visualization. Past research has addressed the problem of extracting su
→