Topic modeling on document networks with Dirichlet Optimal Transport Barycenter

Text documents are often interconnected in a network structure, e.g., academic papers via citations, Web pages via hyperlinks. On the one hand, though Graph Neural Networks (GNNs) have shown promising ability to derive effective embeddings for such networked documents, they do not assume a latent to...

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Bibliographic Details
Main Authors: ZHANG, Ce, LAUW, Hady Wirawan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/sis_research/9839
https://ink.library.smu.edu.sg/context/sis_research/article/10839/viewcontent/tkde23barycenter.pdf
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Institution: Singapore Management University
Language: English