Graph Node's Class Prediction Task

A Graph Node's Class Prediction Task is a collective classification task that classifies a graph node.

• Context:
  • It can be solved by a Graph Node Classification System (that implements a Graph Node Classification algorithm).
  • It can range from being a Heuristic Graph Node Classification Task to being a Data-Driven Graph Node Classification Task (such as a Supervised Graph Node Classification Task).
• Example(s):
  • a Taxonomy Node Classification Task.
  • …
• Counter-Example(s):
  • a Link to Graph Node Prediction Task.
  • a Graph Edge Classification Task.
  • a Graph Edge Prediction Task.
  • a Prediction of Graph Node Task.
• See: Graph Classification, Graph Learning.

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References

2007

• (Macskassy & Provost, 2007) ⇒ Sofus A. Macskassy, and Foster Provost. (2007). “Classification in Networked Data: A Toolkit and a Univariate Case Study.” In: The Journal of Machine Learning Research, 8.
  • QUOTE: This paper is about classifying entities that are interlinked with entities for which the class is known. After surveying prior work, we present NetKit, a modular toolkit for classification in networked data, and a case-study of its application to networked data used in prior machine learning research.

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