Kernel Graph Convolutional Neural Networks

29 Oct 2017Giannis Nikolentzos • Polykarpos Meladianos • Antoine Jean-Pierre Tixier • Konstantinos Skianis • Michalis Vazirgiannis

Graph kernels have been successfully applied to many graph classification problems. Typically, a kernel is first designed, and then an SVM classifier is trained based on the features defined implicitly by this kernel. This two-stage approach decouples data representation from learning, which is suboptimal.

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