Fig. 7: Schematic of GNN-based feature extractor. | npj Systems Biology and Applications

Fig. 7: Schematic of GNN-based feature extractor.

From: Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks

Fig. 7

The feature extractor is comprised of a stack of graph convolution blocks, a memory pooling layer, and a residual connection between the original input node features and the output of the memory pooling layer. Some elements of the figure were rendered using functions from Matplotlib in Python, while the entire figure was created in PowerPoint.

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