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 ...
Graph data is crucial for modeling complex relationships in various fields, but conventional graph computing methods struggle to handle increasingly intricate and large-scale graph data. Electric ...
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