Semi-Supervised-Graph-Convolution-in-PyTorch PyTorch implementation of the paper "Semi-Supervised Classification with Graph Convolutional Networks" (ICLR 2017) by Thomas N. Kipf, Max Welling. Achieves 78.6% accuracy