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 ...
The message-passing paradigm on graphs has significant advantages in modeling local structures, but still faces challenges in capturing global information and complex relationships. Although the ...
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