Abstract: Knowledge graph (KG) contrastive learning (CL) has garnered significant attention in the realm of recommendation systems. However, existing models often employ random masking for graph ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

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Multi-modal Knowledge Graphs (MMKGs) have been widely applied across various domains for knowledge representation. However, the existing MMKGs are significantly fewer than required, and their ...

Therefore, it has the potential to provide neurosurgeons with rapid and reliable decision support, especially in emergency conditions. The knowledge graph enhanced deep-learning model can exhibit ...

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