dmlc / dmlc/dgl

"Graph Contrastive Coding" author code doesn't work with DGL running on CUDA11.3

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Description

## 🔨Work Item
I need assistance in resolving this issue while using the DGL version with CUDA 11.8 and considering my specific device specifications. Thank you for your help!

I am facing the following bug: "No module named 'dgl.nodeflow'" while running my code. I understand that 'nodeflow' has been deprecated in the latest DGL version, as mentioned in the issue https://github.com/dmlc/dgl/issues/2194.

To Reproduce
Steps to reproduce the behavior:

Run the code that uses the 'dgl.nodeflow' module.
Observe the error "No module named 'dgl.nodeflow'".
Expected behavior
I expected the code to run without any errors and use the 'dgl.nodeflow' module.

Environment
DGL Version (e.g., 1.0): Latest version (please specify)
Backend Library & Version (e.g., PyTorch 0.4.1, MXNet/Gluon 1.3): (please specify)
OS (e.g., Linux): (please specify)
How you installed DGL (conda, pip, source): (please specify)
Build command you used (if compiling from source): (please specify)
Python version: 3.6.13
CUDA/cuDNN version (if applicable): CUDA Version: cuda_11.8.r11.8/compiler.31833905_0
GPU models and configuration (e.g. V100): (please specify)
Any other relevant information: (please specify)

Additional context
I cannot install an older version of CUDA as my device is running on CUDA 11.3.

I need assistance in resolving this issue while using the latest DGL version and considering my specific device specifications. Thank you for your help!

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