Graph Convolutional Neural Networks via Scattering

03/31/2018
by   Dongmian Zou, et al.
0

We generalize the scattering transform to graphs and consequently construct a convolutional neural network on graphs. We show that under certain conditions, any feature generated by such a network is approximately invariant to permutations and stable to graph manipulations. Numerical results demonstrate competitive performance on relevant datasets.

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