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.