Various Knowledge Graph Embeddings (KGEMs)

该数据集包含了多种用于训练知识图谱嵌入模型的知识图谱，旨在评估MASCHInE方法。此外，数据集还包括了最优的超参数、脚本以及公开发布的预训练嵌入。这些资源可支持以下任务：链接预测（Lp）、实体聚类（Ec）和节点分类（Nc）。

This dataset contains multiple knowledge graphs for training knowledge graph embedding models, and is intended for evaluating the MASCHInE method. Additionally, the dataset includes optimal hyperparameters, scripts, and publicly released pre-trained embeddings. These resources support the following tasks: Link Prediction (Lp), Entity Clustering (Ec), and Node Classification (Nc).