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Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
Knowledge Graphs (KGs) have become increasingly common for representing large-scale linked data.
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
Our experiments on the UMLS dataset show that a single TWIG neural network can predict the results of state-of-the-art ComplEx-N3 KGE model nearly exactly on across all hyperparameter configurations.
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