Understanding Graph Neural Networks with Asymmetric Geometric Scattering Transforms

14 Nov 2019Michael PerlmutterFeng GaoGuy WolfMatthew Hirn

The scattering transform is a multilayered wavelet-based deep learning architecture that acts as a model of convolutional neural networks. Recently, several works have introduced generalizations of the scattering transform for non-Euclidean settings such as graphs... (read more)

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