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Abstract: Parameter inefficiency poses a fundamental limitation to large-scale Knowledge Graph Embedding (KGE) models, as traditional approaches assign a distinct embedding vector to each entity and ...
Abstract: Knowledge Graphs (KGs) are used to organize and understand vast amounts of information. However, they usually suffer from incompleteness which limits their applicability. Knowledge Graph ...