NodeFormer
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The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
I am currently examining the methodologies presented in your paper and am unclear about the techniques used to visualize Graphs 4 and 7 under linear complexity constraints. According to Equation...
- I have a question regarding the 'kernelized_gumbel_softmax' function. Specifically, I am curious about the role of 'K' in this context. Does 'K' serve a purpose similar to the number...
i.e the adjacent matrix with weights of the latent graph