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Decoupled Smoothing on Graphs

WWW '19: The Web Conference on The World Wide Web Conference WWW 2019, pp.263-272, (2019)

Cited: 10|Views35
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Abstract

Graph smoothing methods are an extremely popular family of approaches for semi-supervised learning. The choice of graph used to represent relationships in these learning problems is often a more important decision than the particular algorithm or loss function used, yet this choice is less well-studied in the literature. In this work, we ...More

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