A graph residual generation network for node classification based on multi-information aggregation-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A graph residual generation network for node classification based on multi-information aggregation

Published:2024-08-16 Issue:1 Volume:27 Page:
ISSN:2948-2992
Container-title:Discover Computing
language:en
Short-container-title:Discov Computing

Author:

Liang Zhenhuan,Jia Xiaofen,Han Xiaolei,Zhao Baiting,Feng Zhu

Funder

The National Natural Science Foundation of China

The Natural Science Foundation of Anhui Province

The Suzhou Key Research and Development Project

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s10791-024-09461-6.pdf

Reference55 articles.

1. Kipf TN, Welling M. Semi-supervised classification with graph convolutional networks. arXiv Preprint. 2016; arXiv: 1609.02907. https://doi.org/10.48550/arXiv.1609.02907

2. Veličković P, Cucurull G, Casanova A, et al. Graph attention networks. International Conference on Learning Representation. Vancouver: ICLR. 2018; pp 1–12. https://doi.org/10.48550/arXiv.1710.10903

3. Hamilton WL, Ying R, Leskovec J. Inductive representation learning on large graphs. arXiv Preprint. 2017; arXiv: 1706.02216. https://doi.org/10.48550/arXiv.1706.02216

4. Zhang C, Wang J, Yao K. Global random graph convolution network for hyperspectral image classification. Remote Sens. 2021;13(12):2285. https://doi.org/10.3390/rs13122285.

5. Chen D, Lin Y, Li W, et al. Measuring and relieving the over-smoothing problem for graph neural networks from the topological view. In Proceedings of the AAAI Conference on Artificial Intelligence. New York: AAAI. 2020;34(04):3438–3445. https://doi.org/10.48550/arXiv.1909.03211

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3