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@@ -83,7 +83,7 @@ parent_norms = model.manifold.dist0(parent_entity_embeddings)
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  # use the empirical function for subsumption prediction proposed in the paper
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  # `centri_score_weight` and the overall threshold are determined on the validation set
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- subsumption_scores = dists + centri_score_weight * (parent_norms - child_norms)
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  ```
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  Training and evaluation scripts are available at [GitHub](https://github.com/KRR-Oxford/HierarchyTransformers).
 
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  # use the empirical function for subsumption prediction proposed in the paper
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  # `centri_score_weight` and the overall threshold are determined on the validation set
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+ subsumption_scores = - (dists + centri_score_weight * (parent_norms - child_norms))
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  ```
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  Training and evaluation scripts are available at [GitHub](https://github.com/KRR-Oxford/HierarchyTransformers).