Walk-Steered Convolution for Graph Classification
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DOI: 10.1109/tnnls.2019.2956095
Abstract: Graph classification is a fundamental but challenging issue for numerous real-world applications. Despite recent great progress in image/video classification, convolutional neural networks (CNNs) cannot yet cater to graphs well because of graphical non-Euclidean topology. In… read more here.
Keywords: graph classification; convolution; walk steered; graph ... See more keywords