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Convolutional Networks on Enhanced Message-Passing Graph Improve Semi-Supervised Classification with Few Labels
The key idea is node classification can benefit from various variants of the original graph that are more efficient for message propagation, based upon the assumption that each variant is a potential structure as more nodes are properly labeled.
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