Methods and Applications of Graph Embedding: A Survey

doi:10.3969/j.issn.0372-2112.2020.04.023

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Methods and Applications of Graph Embedding: A Survey

更新时间：2025-07-08

- Methods and Applications of Graph Embedding: A Survey
- Acta Electronica Sinica Vol. 48, Issue 4, Pages: 808-818(2020)
- 作者机构：
  
  1. 云南大学信息学院,云南,昆明,650500
  2. 成都信息工程大学网络空间安全学院,四川,成都,610225
  3. 云南大学软件学院,云南,昆明,650500
  4. 云南大学信息学院,云南,昆明,650500
  5. 成都信息工程大学网络空间安全学院,四川,成都,610225
  6. 云南大学软件学院,云南,昆明,650500
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.U1802271, No.61562091, No.61772091, No.61802035);Outstanding Youth Program of Basic Research Project of Yunnan Province (No.2019杰青-2);Applied Basic Research Project of Yunnan Province (No.2016FB110);Scientific Research Fund of Education Department of Yunnan Province (No.2018JS013)
- DOI：10.3969/j.issn.0372-2112.2020.04.023
  CLC： TP301
- Published Online：25 April 2020，
  
  Published：2020
- 稿件说明：
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Methods and Applications of Graph Embedding: A Survey[J]. Acta Electronica Sinica, 2020, 48(4): 808-818.
DOI：

Methods and Applications of Graph Embedding: A Survey[J]. Acta Electronica Sinica, 2020, 48(4): 808-818. DOI： 10.3969/j.issn.0372-2112.2020.04.023.

摘要

图模型越来越广泛地应用于数据管理、知识发现和信息服务等问题中，图嵌入作为图分析和应用的重要技术手段，成为了人工智能领域研究的热点之一.本文从图嵌入研究中面临的挑战出发，主要介绍了基于矩阵分解、基于随机游走和基于深度学习的图嵌入方法.接着，介绍了图嵌入方法常用的测试数据集、评测标准和典型应用.最后，总结了图嵌入未来研究的趋势和方向.

Abstract

Graphs are increasingly used in data management

knowledge discovery and information services. As an important strategy of graph analysis and applications

graph embedding has become one of the subjects with great attention in artificial intelligence. Starting from the challenges faced in graph embedding studies

this paper introduces the principal methods based on matrix decomposition

random walk and deep learning. Then

we introduce general test datasets

evaluation criteria as well as typical applications widely used in graph embedding. Finally

we summarize the trend and future research issues of graph embedding.

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Xi'an Electronic Engineering Research Institute

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