ednn_io_prepare {PLEXI}

Preparing the input and output of the EDNN for a multiplex graph

Description

Preparing the input and output of the EDNN for a multiplex graph

Usage

ednn_io_prepare(
  edge.list,
  edge.weight,
  outcome = NULL,
  indv.index = NULL,
  edge.threshold = 0,
  walk.rep = 10,
  n.steps = 5,
  random.walk = TRUE,
  verbose = TRUE
)

Arguments

edge.list

edge list as a dataframe with two columns.

edge.weight

edge weights as a dataframe. Each column corresponds to a graph. By default, the colnames are considered as outcomes unless indicated in outcome argument.

outcome

clinical outcomes for each graph. If not mentioned, the colnames(edge.weight) are considered by default.

indv.index

the index of individual networks.

edge.threshold

numeric value to set edge weights below the threshold to zero (default: 0). the greater edge weights do not change.

walk.rep

number of repeats for the random walk (default: 100).

n.steps

number of the random walk steps (default: 5).

random.walk

boolean value to enable the random walk algorithm (default: TRUE).

verbose

if TRUE a progress bar is shown.

Value

the input and output required to train the EDNN

Examples

myNet = network_gen(n.nodes = 50)
graphData = myNet[["data_graph"]]
edge.list = graphData[,1:2]
edge.weight = graphData[,3:4]
XY = ednn_io_prepare(edge.list, edge.weight)
X = XY[["X"]]
Y = XY[["Y"]]