How to include node type with both labeled and unlabeled members

I have a use case for a single node type that has a mixture of labeled and unlabeled members. The docs sound like this is handled:

[source](https://graphstorm.readthedocs.io/en/v0.3.1/tutorials/own-data.html#customized-label-split)

"These JSON files only need to list the IDs on its own set. For example, in a node classification task, there are 100 nodes and node ID starts from 0, and assume the last 50 nodes (ID from 49 to 99) have labels associated. ...."

I have parquet files for my nodes. During the graph construction routine, the creation of the final numpy arrays for labels seemed to indicate that I needed dummy labels for these nodes. How am I supposed to handle this use case where I want to keep to a single node type for this data?

Thank you!

Start with the customized-label-split documentation linked in the issue and trace the graph construction routine that creates the final NumPy label arrays from Parquet node files. Clarify whether mixed labeled and unlabeled members are supported with one node type, and document the required input and expected label representation.

Written by the indexing model from the issue text.