noisy-kgs-benchmark

Authors: Andrea Lenzi, Stefano Faralli, Paola Velardi<br> Affiliation: Computer Science Department, Sapienza University of Rome, Rome, Italy<br> Description: this is a repository for preserving, sharing, and maintaining a benchmark of Knowledge Graph Emabedding-based link prediction, deletion, and pruning systems with noisy data.作者：安德里亚·伦齐（Andrea Lenzi）、斯特凡诺·法拉利（Stefano Faralli）、保拉·维拉迪（Paola Velardi）<br> 所属机构：意大利罗马萨皮恩扎大学计算机科学系<br> 数据集描述：本仓库用于保存、共享并维护一套面向含噪数据的、基于知识图谱嵌入（Knowledge Graph Embedding）的链接预测、删除与剪枝系统基准测试集。