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Fig. 6 | BMC Bioinformatics

Fig. 6

From: MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model

Fig. 6

The flowchart of MAGCNSE. Step 1: extract features from the 3 views of similarity graphs of lncRNAs and 2 views of similarity graphs diseases utilizing GCN. Step 2: leverage attention mechanism for adaptively assigning weights to different feature matrices of lncRNAs and diseases. Step 3: acquire the final representations of lncRNAs and diseases by further extracting features from the multi-channel feature matrices of lncRNAs and diseases using the CNN. Step 4: employ a stacking ensemble classifier to make LDA predictions

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BMC Bioinformatics

ISSN: 1471-2105

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