RLGAT: Retweet prediction in social networks using representation learning and GATs-Reference-Cited by-同舟云学术

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RLGAT: Retweet prediction in social networks using representation learning and GATs

Published:2023-10-11 Issue: Volume: Page:
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Wang Lidong^ORCID,Zhang Yin^ORCID,Yuan Jie^ORCID,Cao Shihua^ORCID,Zhou Bin

Funder

Zhejiang Provincial High-Education Teaching Reform Project

China Knowledge Centre for Engineering Sciences and Technology

Natural Science Foundation of Ningbo

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-16902-9.pdf

Reference52 articles.

1. Ortiz-Ospina E, Roser M (2023) The rise of social media. Our world in data. https://ourworldindata.org/rise-of-social-media

2. Jain PK, Patel A, Kumari S et al (2022) Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews. Multimed Tools App 81(5):6979–6994

3. Jain PK, Pamula R, Srivastava G (2021) A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. Computer Sci Rev 41:100413

4. Lahuerta-Otero E, Cordero-Gutiérrez R, De la Prieta-Pintado F (2018) Retweet or like? That is the question. Online Inf Rev 42(5):562–578

5. Lymperopoulos IN (2021) RC-Tweet: modeling and predicting the popularity of tweets through the dynamics of a capacitor. Expert Syst Appl 163:113785

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