Graph Convolutional Neural Networks via Scattering

31 Mar 2018  ·  Dongmian Zou, Gilad Lerman ·

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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Datasets


Results from the Paper


Task Dataset Model Metric Name Metric Value Global Rank Result Benchmark
Node Classification Cora GraphScattering Accuracy 81.9% # 58

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