Fix num_labels to num_classes in dataset files

[HernandoR]

Description

update the examples and 3 datasets, from num_labels to num_classes

Checklist

Please feel free to remove inapplicable items for your PR.

• The PR title starts with [$CATEGORY] (such as [NN], [Model], [Doc], [Feature]])
• I've leverage the tools to beautify the python and c++ code.
• The PR is complete and small, read the Google eng practice (CL equals to PR) to understand more about small PR. In DGL, we consider PRs with less than 200 lines of core code change are small (example, test and documentation could be exempted).
• All changes have test coverage
• Code is well-documented
• To the best of my knowledge, examples are either not affected by this change, or have been fixed to be compatible with this change
• Related issue is referred in this PR
• If the PR is for a new model/paper, I've updated the example index here.

Changes

examples are updated to use data.num_classes instead of nums_labels

each dataset that explicitly defined num_labels has been checked or updated to include num_classes

[dgl-bot]

Not authorized to trigger CI. Please ask core developer to help trigger via issuing comment:

• @dgl-bot

[dgl-bot]

Commit ID: df81ddb

Build ID: 1

Status: ❌ CI test failed in Stage [Authentication].

Report path: link

Full logs path: link

[dgl-bot]

Not authorized to trigger CI. Please ask core developer to help trigger via issuing comment:

• @dgl-bot

[dgl-bot]

Commit ID: 8989798

Build ID: 2

Status: ❌ CI test failed in Stage [Authentication].

Report path: link

Full logs path: link

[HernandoR]

@Rhett-Ying Would you mind get someone review this?

[Rhett-Ying]

@dgl-bot

[Rhett-Ying]

Have you run all these changed examples(running pytorch examples is enough) to make sure the api change does not cause regression issue? These examples are not covered in our CI.

[HernandoR]

working on it

[dgl-bot]

Commit ID: 8989798

Build ID: 3

Status: ✅ CI test succeeded.

Report path: link

Full logs path: link

[HernandoR]

It's cleared.

working on it