Papers with CIAN

1 papers
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion (2022.emnlp-main)

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Challenge: Recent FKGC studies focus on learning semantic representations of entity pairs by separately encoding the neighborhoods of head and tail entities.
Approach: They propose a model to learn semantic representations of entity pairs by separately encoding the neighborhoods of head and tail entities.
Outcome: The proposed model outperforms state-of-the-art methods on two public datasets.

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