Invariant and Equivariant Graph Networks
A PyTorch implementation of The ICLR 2019 paper “Invariant and Equivariant Graph Networks” by Haggai Maron, Heli Ben-Hamu, Nadav Shamir and Yaron Lipmanhttps://openreview.net/forum?id=Syx72jC9tm. The official TensorFlow implementation is at https://github.com/Haggaim/InvariantGraphNetworks Data Data should be downloaded from: https://www.dropbox.com/s/vjd6wy5nemg2gh6/benchmark_graphs.zip?dl=0.Run the following commands in order to unzip the data and put its proper path. mkdir data unzip benchmark_graphs.zip -d data Prerequisites Python3 PyTorch 1.5.0 Additional modules: numpy, pandas, matplotlib TensorFlow is not neccessary except if you want to run the tests (comparisons) between […]
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