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Found 2 papers, 2 papers with code
Duality in Multi-View Restricted Kernel Machines
We propose a unifying setting that combines existing restricted kernel machine methods into a single primal-dual multi-view framework for kernel principal component analysis in both supervised and unsupervised settings.
Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification
We present a deep Graph Convolutional Kernel Machine (GCKM) for semi-supervised node classification in graphs.
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