node2vecR {node2vec}

Algorithmic Framework for Representational Learning on Graphs

Description

Algorithmic Framework for Representational Learning on Graphs

Usage

node2vecR(
  data,
  p = NULL,
  q = NULL,
  directed = NULL,
  num_walks = NULL,
  walk_length = NULL,
  dim = NULL
)

Arguments

data

input data for edges consisting of at least two columns of data and if there are weights,it must be in the third column.

p

return parameter.Default to 1.

q

in-out parameter.Default to 1.

directed

the network is directed or undirected.Default to undirected.

num_walks

number of walks per node.Default to 10.

walk_length

number of nodes in each walk.Default to 80.

dim

embedding dimensions.Default to 128.

Value

embedding results for each node

Examples

#Parameters can be customized as needed
data(gene_edges)
use_data<-gene_edges
emb<-node2vecR(use_data,p=2,q=1,num_walks=5,walk_length=5,dim=10)