A generative probabilistic classifier using node text, in/out-degree, and first-order neighbor-label counts achieves competitive accuracy on the Math Genealogy and ogbn-arxiv datasets.
Feature selection for text classification with na ¨ ıve bayes.Expert Systems with Ap- plications, 36(3, Part 1):5432–5435, 2009
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A Probabilistic Model for Node Classification in Directed Graphs
A generative probabilistic classifier using node text, in/out-degree, and first-order neighbor-label counts achieves competitive accuracy on the Math Genealogy and ogbn-arxiv datasets.