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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Vydané v:	Neurocomputing (Amsterdam) Ročník 458; s. 468 - 477
Hlavní autori:	Zhang, Pengfei, Ran, Hongyan, Jia, Caiyan, Li, Xuanya, Han, Xueming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 11.10.2021
Predmet:	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
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