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On the effectiveness of a contrastive cascade graph learning framework: The power of synthetic cascade data

Analyzing the dynamics of information diffusion cascades and accurately predicting their behavior holds significant importance in various applications. In this paper, we concentrate specifically on a recently introduced contrastive cascade graph learning framework, for the task of predicting cascade...

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Detalles Bibliográficos
Autores principales: Suzuki, Daiki, Tsugawa, Sho, Tsukamoto, Keiichiro, Igari, Shintaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10578604/
https://www.ncbi.nlm.nih.gov/pubmed/37844089
http://dx.doi.org/10.1371/journal.pone.0293032