Skip to main content
Fig. 8 | BMC Bioinformatics

Fig. 8

From: LDAGM: prediction lncRNA-disease asociations by graph convolutional auto-encoder and multilayer perceptron based on multi-view heterogeneous networks

Fig. 8

Aggregate Layer. The output of the previous aggregate layer, \(AG_{i-1}\), and the output of the current hidden layer, \(H_i\), are passed through the forgetting gate and the input gate, where the features are filtered and the important features are retained. The update gate integrates the results of the forgetting gate and input gate outputs to get the output of the current aggregate layer

Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us