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ml-recall

#sparse-matrix

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Question 1: True or false

easyAI-checkedGraph Neural Networks

True or false: with the adjacency matrix stored as a sparse matrix, the cost of one GCN layer A^XW\hat A X W on a graph with NN nodes and ∣E∣|E| edges, where A^=D~−1/2A~D~−1/2\hat A = \tilde D^{-1/2}\tilde A\tilde D^{-1/2}, A~=A+I\tilde A = A + I and D~\tilde D is the degree matrix of A~\tilde A, grows linearly with ∣E∣|E| (for fixed feature sizes), not with N2N^2.

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