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auto-encoding adjacency matrix causality model with page rank

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Auto-encoding adjacency matrix causality model with page rank

An auto-encoding adjacency matrix is learned with gradient descent for the iris dataset. The neural network is the form of: AX + B = X. Page rank is then applied to the adjacency matrix, and it is found that the petal length is the most important property of irises.

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