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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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2023
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Online Access: | 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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Institution: | Singapore Management University |
Language: | English |
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