Multiple Knowledge Graph Datasets

该数据集的概要显示，该论文在多个数据集上评估了不同的知识图谱嵌入模型，以判断它们在链接预测任务上的表现。此外，这项评估涉及了多个数据集，包括了数千次实验，并耗费了大量的计算资源。所研究的任务是链接预测。

This dataset summary demonstrates that the paper evaluates various knowledge graph embedding models across multiple datasets to assess their performance on the link prediction task. Furthermore, this evaluation involves multiple datasets, includes thousands of experiments, and consumes a considerable amount of computational resources. The task under investigation is link prediction.