Learning Graph Convolution Filters from Data Manifold

arXiv: Learning, Volume abs/1710.11577, 2018.

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Abstract:

Convolution Neural Network (CNN) has gained tremendous success in computer vision tasks with its outstanding ability to capture the local latent features. Recently, there has been an increasing interest in extending CNNs to the general spatial domain. Although various types of graph convolution and geometric convolution methods have been ...More

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