Essential multi-view graph learning for clustering
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-021-03002-5
Abstract: Multi-view clustering utilizes information from diverse views to improve the performance of clustering. For most existing multi-view spectral clustering methods, information of different views is integrated by pursuing a consensus similarity matrix for clustering. However,… read more here.
Keywords: graph learning; multi view; view; view graph ... See more keywords
Multi-View Graph Neural Architecture Search for Biomedical Entity and Relation Extraction
Sign Up to like & getrecommendations! Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3205113
Abstract: Recently, graph neural architecture search (GNAS) frameworks have been successfully used to automatically design the optimal neural architectures for many problems such as node classification and graph classification. In the existing GNAS frameworks, the designed… read more here.
Keywords: view; view graph; relation extraction; multi view ... See more keywords