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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

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