A Graph Layout Framework Combining t-Distributed Neighbor Retrieval Visualizer and Energy Models-Reference-Cited by-同舟云学术

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A Graph Layout Framework Combining t-Distributed Neighbor Retrieval Visualizer and Energy Models

Published:2019 Issue: Volume:7 Page:27515-27525
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Xu Guangluan,Song Zhenzhou^ORCID,Wang Yang,Lin Daoyu,Chen Jing^ORCID,Mao Tingyun,Xu Wenjia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08648167.pdf?arnumber=8648167

Cited by 4 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. BCGL: Binary Classification-Based Graph Layout;IEICE Transactions on Information and Systems;2022-09-01

2. Optimizing graph layout by t-SNE perplexity estimation;International Journal of Data Science and Analytics;2022-07-30

3. LILPA: A label importance based label propagation algorithm for community detection with application to core drug discovery;Neurocomputing;2020-11

4. GLLPA: A Graph Layout based Label Propagation Algorithm for community detection;Knowledge-Based Systems;2020-10

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