A lightweight propagation path aggregating network with neural topic model for rumor detection

The structure information associated with message propagation has been proved to be effective to distinguish false and true rumors. However, existing methods lack an efficient way to learn the representation of the whole rumors which captures the intrinsic mechanism of rumor propagation structures a...

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Bibliographic Details

Published in:	Neurocomputing (Amsterdam) Vol. 458; pp. 468 - 477
Main Authors:	Zhang, Pengfei, Ran, Hongyan, Jia, Caiyan, Li, Xuanya, Han, Xueming
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 11.10.2021
Subjects:	Lightweight Neural topic model Propagation structure Rumor detection Wasserstein autoencoder Wasserstein autoencoder Rumor detection Propagation structure Lightweight Neural topic model
ISSN:	0925-2312, 1872-8286
Online Access:	Get full text
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