Local node feature modeling for edge computing based on network embedding in dynamic networks-Reference-Cited by-同舟云学术

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Local node feature modeling for edge computing based on network embedding in dynamic networks

Published:2023-01 Issue: Volume:171 Page:98-110
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Li Xiaoming,Luo Yi,Xiong Neal,Yu Wei^ORCID,Xu Guangquan,Liu Changzheng,Yang Xiaoping

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference35 articles.

1. Watch your step: learning node embeddings via graph attention;Abu-El-Haija;Adv. Neural Inf. Process. Syst.,2018

2. Graph data management and mining: a survey of algorithms and applications;Aggarwal,2010

3. An event-based framework for characterizing the evolutionary behavior of interaction graphs;Asur;ACM Trans. Knowl. Discov. Data,2009

4. Grarep: learning graph representations with global structural information;Cao,2015

5. Deep neural networks for learning graph representations;Cao;Proc. AAAI Conf. Artif. Intell.,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fuzzy Representation Learning on Dynamic Graphs;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024-02

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