Abstract: Out-of-distribution (OOD) detection poses a signifi-cant challenge for Graph Neural Networks (GNNs), particularly in open-world scenarios with varying distribution shifts. Most existing OOD ...
Existing methods based on a pretrained knowledge graph embedding model have achieved good performance. However, they ignore logical rules. Logical rules, as part of the conceptual layer in knowledge ...
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