Using Igraph on multiple cores - r

Question

I am trying to combine two CSV files together in a graph_from_data_frame using multiple cores.
I already have the code developed (see below), I just need to adapt it to use more than one core.
The two csv file examples are posted below. Due to the volume of data in the csv's multiple cores are needed.
id
123
321
231
423
353
534
345
646
346
from to weight
123 456 2
123 435 3
432 654 2
342 543 4
234 323 3
432 543 4
234 543 1
234 654 1
edges <- read.csv("/Users/holly/edgeR.csv", header=T, as.is=T)
nodes <- read.csv("/Users/holly/nodeR.csv", header=T, as.is=T)
#libraries
library(igraph)
library(tictoc)
library(network)
library(data.table)
#Edges data set includes from and to addresses for block 200k from Neo4j
#edges <- read.csv("/Users/jonathanbailey/edges.csv", header=T, as.is=T)
#Node data s et contains all the address nodes ids for block 200k
#nodes <- read.csv("/Users/jonathanbailey/nodes.csv", header=T, as.is=T)
#Show titles of data set
head(nodes)
head(edges)
#Remove the weights column
#edges$weights <- NULL
#Removes duplicate values in the nodes data set
nodes <- nodes[!duplicated(nodes$id),]
# persuades the data into a two-column matrix format for igraph
el=as.matrix(edges)
el[,1]=as.character(el[,1])
el[,2]=as.character(el[,2])
#Creates a graph in R with edges and nodes
clustergraph1 <- graph_from_data_frame(el, directed = FALSE, vertices = nodes)
#Assigns the louvain algoritm to the above graph
Community200k <- cluster_louvain(clustergraph1)
Is there a way to make the two csv files merge into the graph data frame using parallel cores?