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Graph autoencoder for predicting additional connections in GRNs. ( A) GAE network architecture. The encoder consists of a two-layer graphSAGE network. The decoder consists of an inner-product decoder with learnable weights. ( B) Procedure for improving the GRN. The GAE is trained for each edge for which a prediction is desired, and the results are subsequently combined to obtain an improved graph structure.
