Enhancing PyKEEN with Multiple Negative Sampling Solutions for Knowledge Graph Embedding Models

Claudia d'Amato, Ivan Diliso, Nicola Fanizzi +1

Embedding methods have become popular due to their scalability on link prediction and/or triple classification tasks on Knowledge Graphs. Embedding models are trained relying on bo…