Predict then Propagate: Graph Neural Networks meet Personalized PageRank

ICLR 2019 Johannes KlicperaAleksandar BojchevskiStephan Günnemann

Neural message passing algorithms for semi-supervised classification on graphs have recently achieved great success. However, for classifying a node these methods only consider nodes that are a few propagation steps away and the size of this utilized neighborhood is hard to extend... (read more)

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Evaluation results from the paper


Task Dataset Model Metric name Metric value Global rank Uses extra
training data
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Node Classification MS ACADEMIC APPNP Accuracy 93.27% # 1