Graph neural networks for multi-view learning: a taxonomic review
With the explosive growth of user-generated content, multi-view learning has become a
rapidly growing direction in pattern recognition and data analysis areas. Due to the …
rapidly growing direction in pattern recognition and data analysis areas. Due to the …
A hierarchical consensus learning model for deep multi-view document clustering
R Bai, R Huang, Y Chen, Y Qin, Y Xu, Q Zheng - Information Fusion, 2024 - Elsevier
Document clustering, a fundamental task in natural language processing, aims to divede
large collections of documents into meaningful groups based on their similarities. Multi-view …
large collections of documents into meaningful groups based on their similarities. Multi-view …
CSMDC: Exploring consistently context semantics for multi-view document clustering
R Bai, R Huang, L Xu, Y Qin - Expert Systems with Applications, 2025 - Elsevier
Multi-view document clustering, which aims to discover clustering partitions based on
multiple document views, has attracted increasing research interest. However, the potential …
multiple document views, has attracted increasing research interest. However, the potential …
A multi-view representation technique based on principal component analysis for enhanced short text clustering
Clustering texts together is an essential task in data mining and information retrieval, whose
aim is to group unlabeled texts into meaningful clusters that facilitate extracting and …
aim is to group unlabeled texts into meaningful clusters that facilitate extracting and …
Report on the 2nd Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2022)
The Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020) is
the second joint conference of the French, Italian, and Spanish information retrieval …
the second joint conference of the French, Italian, and Spanish information retrieval …