Create a notebook comparing nx and cuGraph using synthetic data

[acostadon]

Rapids visualization group asked for some data comparing cuGraph algos to nx.
Used Release notebook as a base, replaced datasets with RMAT data generator.

Closes #3134

[review-notebook-app]

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[BradReesWork]

minor text changed needed

[BradReesWork]

some text needs to be updated and the generator fixed

[exactlyallan]

From a content perspective, this notebook works well for the website benchmark. For viz: rapidsai/cuml#5103 (comment)

[codecov-commenter]

Codecov Report

Base: 55.22% // Head: 55.22% // No change to project coverage 👍

Coverage data is based on head (956a4bd) compared to base (5c021fb).
Patch has no changes to coverable lines.

Additional details and impacted files

@@              Coverage Diff              @@
##           branch-23.02    #3135   +/-   ##
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  Coverage         55.22%   55.22%           
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  Files               148      148           
  Lines              9543     9543           
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  Hits               5270     5270           
  Misses             4273     4273           

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[BradReesWork]

The notebook need a header block at the top explain what it is doing

[BradReesWork]

Cell 3: The names of the datasets are confusing. What not "data_scale_11" instead of "data_11th" . I'm not sure what the "11th" is

[BradReesWork]

Cel 4 - the text is wrong - this is not a data reader

[BradReesWork]

cell 4:
print('Generating a dataframe of ' + str(len(_gdf)) + '...')
should be past tense
print(f'Generated {str(len(_gdf))} edges' )

[BradReesWork]

Cell 5 - why not combine the two cuGraph creates into one and have a "direction" flag passed in?

It used to be two functions since there was Graph and DiGraph, but that is no longer the case

[BradReesWork]

Cell 6 - Katz still have the Nx object function

[BradReesWork]

Cell 12: PageRank

    _G = create_cu_directed_graph(_df, transpose=True)
    if _G.is_directed():
        _G = _G.to_undirected()

why not just create an undirected graph?

[BradReesWork]

Cell 3:
What are the Scale number so small? We want to compare against larger graphs, max should be scale 25

Do Scales: (or pick 3 or 4)
10
14
16
19
22
24
25

NOTE: using the large datasets will be very very slow in Nx
24 and 25 will be too large

[BradReesWork]

see comments

[BradReesWork]

/merge