Papers with learning of dense node embeddings
Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information (2023.findings-emnlp)
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| Challenge: | Knowledge graph completion (KGC) methods are computationally intensive and impractical for large-scale KGs. |
| Approach: | They propose to include node neighborhoods as additional information to improve KGC methods based on language models. |
| Outcome: | The proposed method outperforms KGT5 and conventional methods on inductive and transductive Wikidata subsets and shows its importance. |