iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease
Fig 8
The parameter tuning for iHerd.
(a) The bar plot of the number of nodes per level for controls and disease samples under excitatory neurons and microglia. (b) The line plot of running time with different embedding dimensions and different learning frameworks for controls under excitatory neurons and microglia. (c) The line plot of network modality with different coarsen times (zero coarsen times indicates the initial state).