Supervised Graph Node Classification System

A Supervised Graph Node Classification System is a data-driven graph node classification system that is a supervised multiclass prediction system that can solve a supervised graph node classification task by implementing a supervised graph node classification algorithm.

• Context:
  • It can range from being a Supervised Graph Node Classification Software Tool to being a Supervised Graph Node Classification Software Package.
  • It can range from being a Fully-Supervised Graph Node Classification System to being a Semi-Supervised Graph Node Classification System.
  • It can range from being a Supervised Single-Label Graph Node Classification System to being a Supervised Multi-Label Graph Node Classification System.
• Example(s):
  • a Supervised Taxonomy Node Classification System.
  • …
• Counter-Example(s):
  • a Supervised Binary Classification System.
  • a Supervised Multilabel Classification System.
  • a Supervised Graph Node-Directed Classification System.
• See: scikit-learn.

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