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I was reading a paper for learning graphs (paper is GraphRNN) and it says in section 2.2 (emphasis by me):
Vector-representation based models. One naive approach would be to represent G by flattening $A^π$ into a vector in $R^{n^2}$, which is then used as input to any off-the-shelf generative mo...
