A Graph-CNN for 3D Point Cloud Classification

28 Nov 2018Yingxue ZhangMichael Rabbat

Graph convolutional neural networks (Graph-CNNs) extend traditional CNNs to handle data that is supported on a graph. Major challenges when working with data on graphs are that the support set (the vertices of the graph) do not typically have a natural ordering, and in general, the topology of the graph is not regular (i.e., vertices do not all have the same number of neighbors)... (read more)

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