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fixing style errors
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acostadon committed Mar 11, 2024
1 parent 9621e05 commit 118fbec
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8 changes: 4 additions & 4 deletions docs/cugraph/source/basics/nx_transition.rst
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**************************************
NetworkX by calling cuGraph Algorithms
NetworkX by calling cuGraph Algorithms
**************************************


Expand All @@ -24,7 +24,7 @@ Rather than updating all of your existing code, simply update the calls to
graph algorithms by replacing the module name. This allows all the complicated
ETL code to be unchanged while still seeing significate performance
improvements. Again this will be deprecated since networkX dispatching to nx_cugraph
has many advantages.
has many advantages.

improvements.

Expand Down Expand Up @@ -155,8 +155,8 @@ Graph Building
##############

The biggest difference between NetworkX and cuGraph is with how Graph objects
are built. NetworkX, for the most part, stores graph data in a dictionary.
That structure allows easy insertion of new records. Consider the following
are built. NetworkX, for the most part, stores graph data in a dictionary.
That structure allows easy insertion of new records. Consider the following
code for building a NetworkX Graph::

# Read the node data
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7 changes: 2 additions & 5 deletions docs/cugraph/source/nx_cugraph/nx_cugraph.md
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Expand Up @@ -28,7 +28,7 @@ Each chart has three measurements.


The following algorithms are supported and automatically dispatched to nx-cuGraph for acceleration.

#### Algorithms
```
bipartite
Expand Down Expand Up @@ -164,7 +164,4 @@ social
convert_matrix
├─ from_pandas_edgelist
└─ from_scipy_sparse_array
```



```

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