Graph Convolutional Network #1163
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msaroufim
approved these changes
Jun 11, 2023
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We have some other doc issue @svekars is looking into, so will merge your PR for now. Some low probability we need to forward fix the rst pages but let's see |
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Re #1131
This pull request adds the code implementation of the Graph Convolutional Networks (GCN) algorithm based on the paper Semi-Supervised Classification with Graph Convolutional Networks. The implementation includes the necessary modules and functions to train and evaluate the model on the CORA dataset. The code follows the guidelines and design decisions described in the paper, providing a faithful reproduction of the original algorithm. The implemented GCN achieves a test accuracy of 81.1%, showcasing its effectiveness in semi-supervised classification tasks.