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Hierachical-GCNN

Hierachical Graph Convolutional Neural Network able to integrate data from multiple graphs using embedding and projection operations in a residual approach. Based on spatial graph convolutions.

Applied to Census data to predict election outcomes - provides significant improvement in RMSE - a 3 fold decrease compared to generalised linear methods.

Results to be published in AAAI 2019 conference output.

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  • Jupyter Notebook 63.7%
  • Python 35.9%
  • Shell 0.4%