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rapids - convert nerworkx to cugraph

M = cudf.read_csv('datasets/karate.csv', delimiter=' ',
                   dtype=['int32', 'int32', 'float32'], header=None)

G = cugraph.Graph()
G = cugraph.from_cudf_edgelist(M, source='0', target='1', weight='2')
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