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Abstract: The field of knowledge graph representation learning (KGRL) has been rapidly expanding. To effectively apply KGRL models to large real-world knowledge graphs (KGs), anchor-based methods have ...
Abstract: To address the challenges of acoustic and vibration signals being susceptible to noise interference, coarse modality fusion, and static graph structures in industrial fault diagnosis, we ...