Topic modeling on document networks with Dirichlet Optimal Transport Barycenter

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...

Saved in:

書目詳細資料
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/9839 https://ink.library.smu.edu.sg/context/sis_research/article/10839/viewcontent/tkde23barycenter.pdf
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Singapore Management University
語言:	English

相似書籍

Topic modeling on document networks with Dirichlet Optimal Transport Barycenter (Extended Abstract)
由: ZHANG, Ce, et al.
出版: (2024)

Hyperbolic graph topic modeling network with continuously updated topic tree
由: ZHANG, Ce, et al.
出版: (2023)

Variational graph author topic modeling
由: ZHANG, Ce, et al.
出版: (2022)

Document graph representation learning
由: ZHANG, Ce
出版: (2023)

Text-attributed graph representation learning : Methods, applications, and challenges
由: ZHANG, Ce, et al.
出版: (2024)

Topic modeling for multi-aspect listwise comparison
由: ZHANG, Delvin Ce, et al.
出版: (2021)

Dynamic topic models for temporal document networks
由: ZHANG, Ce, et al.
出版: (2022)

CompareLDA: A topic model for document comparison
由: TKACHENKO, Maksim, et al.
出版: (2019)

Towards reinterpreting neural topic models via composite activations
由: LIM, Jia Peng, et al.
出版: (2022)

Topic modeling on document networks with adjacent-encoder
由: ZHANG, Ce, et al.
出版: (2020)

KEYWORD ASSISTED TOPIC MODELING OF CHINESE CENTRAL GOVERNMENT DOCUMENTS
由: GAO WENHAN
出版: (2023)

Towards effective neural topic modeling
由: Wu, Xiaobao
出版: (2025)

Imaged document text retrieval without OCR
由: Tan, C.L., et al.
出版: (2013)

Modeling research topics for artificial intelligence applications in medicine: Latent dirichlet allocation application study
由: Tran, B.X., et al.
出版: (2021)

Explainable image recognition with graph-based feature extraction
由: Azam, Basim, et al.
出版: (2025)

Provably convergent algorithm for free-support Wasserstein barycenter of continuous non-parametric measures
由: Chen, Zeyi
出版: (2024)

Meta-complementing the semantics of short texts in neural topic models
由: ZHANG, Ce, et al.
出版: (2022)

Single Concatenated Input is Better than Indenpendent Multiple-input for CNNs to Predict Chemical-induced Disease Relation from Literature
由: Pham, Thi Quynh Trang, et al.
出版: (2020)

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
由: FENG FULI, et al.
出版: (2020)

Document text segmentation using multi-band disc model
由: Tan, C.L., et al.
出版: (2013)

Using latent semantic indexing to improve the accuracy of document clustering
由: Zhan, J., et al.
出版: (2014)

Twin solutions to singular Dirichlet problems
由: Agarwal, R.P., et al.
出版: (2014)

Learning on heterogeneous graphs using high-order relations
由: Lee, See Hian, et al.
出版: (2021)

Learning and Reasoning on Graph for Recommendation
由: Xiang Wang, et al.
出版: (2020)

Learning and Reasoning on Graph for Recommendations
由: Xiang Wang, et al.
出版: (2020)

Dirichlet energy of Delaunay meshes and intrinsic Delaunay triangulations
由: Ye, Zipeng, et al.
出版: (2021)

Topic-aware heterogeneous graph neural network for link prediction
由: XU, Siyong, et al.
出版: (2021)

Complex symmetry of composition operators on Hilbert spaces of entire Dirichlet series
由: Doan, Minh Luan, et al.
出版: (2021)

AUTOMATIC ANNOTATION MANAGEMENT THROUGH DOCUMENT ENRICHMENT AND TRANSFER
由: LIU QI
出版: (2016)

Document image enhancement
由: SU BOLAN
出版: (2012)

Topic detection, tracking, and trend analysis using self-organizing neural networks
由: RAJARAMAN, Kanagasabai, et al.
出版: (2001)

Towards developing an intelligent agent to assist in patient diagnosis using neural networks on unstructured patient clinical notes: Initial analysis and models
由: Estuar, Ma. Regina Justina E, et al.
出版: (2016)

NeMoFinder: Dissecting genome-wide protein-protein interactions with meso-scale network motifs
由: Chen, J., et al.
出版: (2013)

Algebra of entire Dirichlet series with real frequencies
由: Jeck, Lim, et al.
出版: (2020)

The 4th workshop on heterogeneous information network analysis and applications (HENA 2021)
由: SHI, Chuan, et al.
出版: (2021)

The use of topic representativewords in text categorization
由: Kim, S.N., et al.
出版: (2013)

Text retrieval from document images based on word shape analysis
由: Tan, C.L., et al.
出版: (2013)

Nguyên lý dirichlet trong các bài toán sơ cấp
由: Đào, Thị Kim Oanh
出版: (2017)

A link-bridged topic model for cross-domain document classification
由: YANG, Pei, et al.
出版: (2013)

Learning to solve multiple-TSP with time window and rejections via deep reinforcement learning
由: ZHANG, Rongkai, et al.
出版: (2022)