Abstract: Subgraph Graph Neural Networks (GNNs) are emerging as a promising approach to enhance GNN expressiveness, but their more complex graph structures with numerous independent and irregular ...
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Abstract: Subgraph-based methods have demonstrated strong performance in inductive knowledge graph completion. However, existing approaches often treat entity features as single vectors, overlooking ...