Topic modeling on document networks with Dirichlet Optimal Transport Barycenter (Extended Abstract)

• Main Authors: ZHANG, Ce, LAUW, Hady Wirawan
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2024
• 主題: Graph Neural Networks; Text Mining; Optimal Transport; Dirichlet Distribution; Document Networks; Artificial Intelligence and Robotics; Computer Sciences
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/9840; https://ink.library.smu.edu.sg/context/sis_research/article/10840/viewcontent/icde24.pdf

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