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A repository for reproducing the experiments of graph convolutional neural networks (GCNs) that appear in papers and blog posts. I prefer using Keras!
1. How to do Deep Learning on Graphs with Graph Convolutional Networks by Tobias Skovgaard Jepsen
- Part 1: A High-Level Introduction to Graph Convolutional Networks ->
Simple-Graph-Operation.ipynb
- Part 2: Semi-Supervised Learning with Spectral Graph Convolutions ->
Semi-Supervised Learning.ipynb
- Appendix A.1: Node Embeddings with Random Weights ->
Node-Embeddings-with-Random-Weights.ipynb
- Part 1: A High-Level Introduction to Graph Convolutional Networks ->
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Simple Tutorial of Graph Convolutional Neural Networks.「 Learning by writing 」
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