A debiased self-training framework with graph self-supervised pre-training aided for semi-supervised rumor detection

Yuhan Qiao; Chaoqun Cui; Yiying Wang; Caiyan Jia

doi:10.1016/j.neucom.2024.128314

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A debiased self-training framework with graph self-supervised pre-training aided for semi-supervised rumor detection

Yuhan Qiao Chaoqun Cui Yiying Wang Caiyan Jia

Year: 2024 Journal: Neurocomputing Vol: 604 Pages: 128314-128314 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2024.128314

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Keywords:

Computer science Rumor Leverage (statistics) Artificial intelligence Machine learning Graph Labeled data Semi-supervised learning Supervised learning Training set Pattern recognition (psychology) Artificial neural network

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0.93

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Topics

Misinformation and Its Impacts

Social Sciences → Social Sciences → Sociology and Political Science

Data-Driven Disease Surveillance

Health Sciences → Medicine → Epidemiology

Public Relations and Crisis Communication

Social Sciences → Social Sciences → Communication

A debiased self-training framework with graph self-supervised pre-training aided for semi-supervised rumor detection

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Citation History

Topics

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