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Please refer to SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS.
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Please refer to SEMI-SUPERVISED CLASSIFICATION WITH GRAPH CONVOLUTIONAL NETWORKS.
In this paper section2.2,he uses I_{N}+D^{-1/2}AD^{-1/2} --> D~^{-1/2}AD^{-1/2}。
In your code A is his A~,but you add a I_{N}。
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The section2.2:
paper
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In this implementation, the diagonal of loaded W is all 0s. We added self loops to maintain the numerical stability. The rest is the same.
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