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Found 2 papers, 1 papers with code
Joint embedding in Hierarchical distance and semantic representation learning for link prediction
Existing well-known models deal with this task by mainly focusing on representing knowledge graph triplets in the distance space or semantic space.
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency
Knowledge graph-to-text (KG-to-text) generation aims to generate easy-to-understand sentences from the KG, and at the same time, maintains semantic consistency between generated sentences and the KG.
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