Graph Convolutional Neural Networks via Scattering

Dongmian Zou; Gilad Lerman

doi:10.1016/j.acha.2019.06.003

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arXiv · 1804.00099

Graph Convolutional Neural Networks via Scattering

Dongmian Zou·Gilad Lerman

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Abstract

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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Dongmian Zou, Gilad Lerman. 2018-11-18. Graph Convolutional Neural Networks via Scattering. https://doi.org/10.1016/j.acha.2019.06.003

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