期刊论文

A review on heterogeneous network representation learning

中文

计算机时代

1006-8228

2023

1

12-16

10.16644/j.cnki.cn33-1094/tp.2023.01.004

华中师范大学中央高校基本科研业务费青年教师创新项目(No.CCNU20QN022)。

本校为第一机构

异质网络特征表示学习技术在各类机器学习任务中发挥了重要的作用。然而目前针对该研究领域的综述却很少。本文对异质网络特征表示学习领域的最新研究进展作系统性的综述。首先,基于“编码器-解码器”的框架,将现有模型分为六类;然后,...展开更多 异质网络特征表示学习技术在各类机器学习任务中发挥了重要的作用。然而目前针对该研究领域的综述却很少。本文对异质网络特征表示学习领域的最新研究进展作系统性的综述。首先,基于“编码器-解码器”的框架,将现有模型分为六类;然后,对每类模型进行系统性地概览、描述和分析,总结每一类模型的优势和缺陷;最后,总结全文并讨论了该领域的开放性问题。收...

Heterogeneous network representation learning(HNRL)technique has played a very important role in various machine learning tasks.However,there are currently few reviews in this research field.To address this issue,we conduct a systematic and comprehensive review of the l...MORE Heterogeneous network representation learning(HNRL)technique has played a very important role in various machine learning tasks.However,there are currently few reviews in this research field.To address this issue,we conduct a systematic and comprehensive review of the latest HNRL research.Firstly,the existing HNRL models...