Knowledge graph embedding (KGE) is an efficient method to predict missing links in knowledge graphs. Most KGE models based on convolutional neural networks have been designed for improving the ability ...

AI technology has been often employed to establish knowledge graph embedding (KGE) model, which can be used for link prediction on medical knowledge graph to help medical decision-making and disease ...

Investors need a new framework for evaluating opportunities in the emerging Intelligence Economy ("Intellinomics"). Semantic ...

For a long time, universities worked off a simple idea: knowledge was scarce. You paid for tuition, showed up to lectures, ...

Superconductivity is an advantageous physical phenomenon observed in some materials, which entails an electrical resistance of zero below specific critical temperatures. This phenomenon is known ...