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Convolutional neural networks (CNNs) have achieved great success on grid-like data such as images, but face tremendous challenges in learning from more generic data such as graphs.
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Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs
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