feat: change the return result for PageRank from GraphFrame to DataFrame #627

Is your feature request related to a problem? Please describe.
At the moment all the algorithms from lib return DataFrame and only PageRank returns a new GraphFrame where vertices has an additional column.

Describe the solution you would like

1. Add an argument to PySpark wrappers like legacy_mode: bool that is true by default to avoid breaking changes
2. Based on this argument, if legacy mode we are returning from PageRank a GraphFrame, but if it is false only a DataFrame of scores
3. Raise a deprecation warning if the legacy_mode is true with a messages that in future version PageRank will return only DataFrame with scores
4. Add the same argument to scala parts

Component

• Scala Core Internal
• Scala API
• Spark Connect Plugin
• Infrastructure
• PySpark Classic
• PySpark Connect

Additional context

We can plan it for the future 1.0 release to follow a semantic versioning. Feel free to ask me about details.

Are you planning on creating a PR?

• I'm willing to make a pull-request