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20202024
most citedImposing Relation Structure in Language-Model Embeddings Using Contrastive Learning

14 citations · 25 across the 8 of their papers we have counts for

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cs.LG2024★ 1 cited

Evaluating the Predictive Features of Person-Centric Knowledge Graph Embeddings: Unfolding Ablation Studies

Christos Theodoropoulos, Natasha Mulligan, Joao Bettencourt-Silva

Developing novel predictive models with complex biomedical information is challenging due to various idiosyncrasies related to heterogeneity, standardization or sparseness of the d…