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Explaining Link Prediction Systems based on Knowledge Graph Embeddings
2022
Proceedings of the 2022 International Conference on Management of Data
Link Prediction (LP) aims at tackling Knowledge Graph incompleteness by inferring new, missing facts from the already known ones. The rise of novel Machine Learning techniques has led researchers to develop LP models that represent Knowledge Graph elements as vectors in an embedding space. These models can outperform traditional approaches and they can be employed in multiple downstream tasks; nonetheless, they tend to be opaque, and are mostly regarded as black boxes. Their lack of
doi:10.1145/3514221.3517887
fatcat:g6sskzu7kncbbeyif7bpy7ec24