Graph Convolutional Neural Networks via Scattering

Code

• github.com/dmzou/SCAT
  tf★ 0

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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Benchmark Results

Reproductions