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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語言: | English |
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Institutional Knowledge at Singapore Management University
2023
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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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