Update notebooks/demo/accelerating_networkx.ipynb

Co-authored-by: Erik Welch <[email protected]>

notebooks/demo/accelerating_networkx.ipynb

@@ -192,7 +192,7 @@
         "id": "z1hxut3GTj5A"
       },
       "source": [
-        "You may have noticed that using the `nx-cugraph` backend resulted in a slightly slower execution time. This is not surprising when working with a graph this small, since the overhead of converting the graph for the first time and launching the algorithm kernel on the GPU is actually significantly more than the computation time itself.  We'll see later that this overhead is negligeble when compared to the time saved when running on a GPU for larger graphs.\n",
+        "You may have noticed that using the `nx-cugraph` backend resulted in a slightly slower execution time. This is not surprising when working with a graph this small, since the overhead of converting the graph for the first time and launching the algorithm kernel on the GPU is actually significantly more than the computation time itself.  We'll see later that this overhead is negligible when compared to the time saved when running on a GPU for larger graphs.\n",
         "\n",
         "Since we've enabled graph conversion caching, we can see that if we re-run the same call the execution time is noticeably shorter."
       ]