[Networkit] How to read in a large graph (and output a sparse matrix)
drraph at gmail.com
Mon Aug 1 10:05:40 CEST 2016
This is my first attempt to use networkit.
I have a simple edge list text file of size
1.2GB. It was 62500000 edges and about half that many vertices. Each
line looks like
I would like to read in the graph and output a sparse adjacency
I am using python and have networkit 4.1.1 which seems to be the
latest version available through pip.
I tried to find the right function in the docs. I have attempted.
G = networkit.readGraph("dgraph.edgelist", fileformat = "EdgeListSpaceOne")
G = networkit.readGraph("dgraph.edgelist", Format.EdgeList)
But both return error messages. In fact the latter returns
NameError: name 'Format' is not defined
How do you read in a graph?
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