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GCNFusion: an efficient graph convolutional network based model for information diffusion

Abstract:

Investigating the dynamics of spreading processes in real-world applications such as pathogen spread prediction, marketing, political events, etc has attracted the attention of researchers from a variety of fields. Influence-based information diffusion is one convincing attempt to solve the information diffusion problem. In this regard, most of the attempts suffer from certain drawbacks such as complexity, dependency on the underlying diffusion model, or low prediction accuracy. We have looke...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.eswa.2022.117053

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-1074-3492
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Role:
Author
ORCID:
0000-0003-0794-527X
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Role:
Author
ORCID:
0000-0003-3781-1360
Publisher:
Elsevier
Journal:
Expert Systems with Applications More from this journal
Volume:
202
Article number:
117053
Publication date:
2022-04-09
Acceptance date:
2022-03-28
DOI:
ISSN:
0957-4174
Language:
English
Keywords:
Pubs id:
1318565
Local pid:
pubs:1318565
Deposit date:
2023-04-25

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