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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| Main Authors: | , |
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| Format: | text |
| Language: | English |
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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 |