Dynamic graph structure evolution for node classification with missing attributes
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DOI: 10.1038/s41598-025-09840-z
Abstract: Graph neural networks (GNN) have achieved remarkable success in various domains, yet incomplete node attribute data can significantly impair their performance. Graph completion learning (GCL) methods have been developed to address this issue, aiming to… read more here.
Keywords: classification missing; structure; node classification; missing attributes ... See more keywords