On Fundamentals of Link Prediction

被引：0
|
作者：
Bi, Yilin [1 ]
Jiao, Xinshan [1 ]
Wan, Shuyan [1 ]
Zhou, Tao [1 ]
机构：
[1] School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu,611731, China
来源：
Dianzi Keji Daxue Xuebao/Journal of the University of Electronic Science and Technology of China | 2024年 / 53卷 / 05期
关键词：
Prediction models;
D O I：
10.12178/1001-0548.2024205
中图分类号：
学科分类号：
摘要：
Link prediction is one of the most productive branches in network science, aiming to estimate the likelihoods of unobserved links based on known network topology. This paper critically examines four fundamental issues in link prediction, say network selection, link sampling, model training and algorithm evaluation. It reviews the current research progresses and highlights some significant yet unresolved issues that urgently require scientific answers. © 2024 University of Electronic Science and Technology of China. All rights reserved.
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页码：792 / 800
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