Drop support for NetworkX 3.0 and 3.1 for nx-cugraph

docs/cugraph/source/nx_cugraph/how-it-works.md

@@ -10,7 +10,7 @@ While NetworkX is a pure-Python implementation, backends may be written to use o
 
 ## Enabling nx-cugraph
 
-It is recommended to use `networkx>=3.4` for optimal zero code change performance, but `nx-cugraph` will also work with `networkx 3.0+`.
+It is recommended to use `networkx>=3.4` for optimal zero code change performance, but `nx-cugraph` will also work with `networkx 3.2+`.
 
 NetworkX will use `nx-cugraph` as the backend if any of the following are used:
 

docs/cugraph/source/nx_cugraph/installation.md

@@ -10,7 +10,7 @@ This guide describes how to install ``nx-cugraph`` and use it in your workflows.
  - **Volta architecture or later NVIDIA GPU, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+**
  - **[CUDA](https://docs.nvidia.com/cuda/index.html) 11.2, 11.4, 11.5, 11.8, 12.0, 12.2, or 12.5**
  - **Python >= 3.10**
- - **[NetworkX](https://networkx.org/documentation/stable/install.html#) >= 3.0 (version 3.4 or higher recommended)**
+ - **[NetworkX](https://networkx.org/documentation/stable/install.html#) >= 3.2 (version 3.4 or higher recommended)**
 
 More details about system requirements can be found in the [RAPIDS System Requirements Documentation](https://docs.rapids.ai/install#system-req).