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cs.LG2023
Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results
Biqian Cheng, Evangelos E. Papalexakis, Jia Chen
Canonical Correlation Analysis (CCA) has been widely applied to jointly embed multiple views of data in a maximally correlated latent space. However, the alignment between various…
cs.LG2023★ 8 cited
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao, Uday Singh Saini, Yozen Liu +3
Self-supervised learning on graphs has made large strides in achieving great performance in various downstream tasks. However, many state-of-the-art methods suffer from a number of…