Hyperbolic graph topic modeling network with continuously updated topic tree

Hyperbolic graph topic modeling network with continuously updated topic tree

Connectivity across documents often exhibits a hierarchical network structure. Hyperbolic Graph Neural Networks (HGNNs) have shown promise in preserving network hierarchy. However, they do not model the notion of topics, thus document representations lack semantic interpretability. On the other hand...

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書目詳細資料
Main Authors:	ZHANG, Ce, YING, Rex, LAUW, Hady Wirawan
格式:	text
語言:	English
出版:	Institutional Knowledge at Singapore Management University 2023
主題:	Hyperbolic graph neural networks Text mining Topic modeling Graphics and Human Computer Interfaces OS and Networks
在線閱讀:	https://ink.library.smu.edu.sg/sis_research/8309 https://ink.library.smu.edu.sg/context/sis_research/article/9312/viewcontent/kdd23.pdf
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