GIN-FND: Leveraging users’ preferences for graph isomorphic network driven fake news detection

Author:

Choudhary AnshikaORCID,Arora AnujaORCID

Publisher

Springer Science and Business Media LLC

Subject

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

Reference61 articles.

1. Aggrawal N, Arora A (2019) Behaviour of viewers: YouTube videos viewership analysis. Int J Bus Innov Res 20(1):106–128. https://doi.org/10.1504/IJBIR.2019.101692

2. Aggrawal N, Arora A, Anand A, Dwivedi Y (2021) Early viewers or followers: a mathematical model for YouTube viewers’ categorization. Kybernetes 50(6):1811–1836

3. Autef A, Matton A, Romain M (2020) Fake news detection using machine learning on the graphs-final report.  arXiv:2007.03316 [cs.SI]

4. Babai L, Kucera L (1979) Canonical labelling of graphs in linear average time. In 20th Annual Symposium on Foundations of Computer Science (sfcs 1979). IEEE, pp. 39–46

5. Bauskar S, Badole V, Jain P, Chawla M (2019) Natural language processing based hybrid model for detecting fake news using content-based features and social features. Int J Inf Eng Electron Bus 11(4):1

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