大连理工大学主页平台管理系统马瑞新--马瑞新-- GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion

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GLSEC: Global and local semantic-enhanced contrastive framework for knowledge graph completion

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发表时间：2024-05-22
发表刊物：Expert Systems with Applications
卷号：250
ISSN号：0957-4174
关键字：Attribute interactions; Contrastive learning; Global semantic; Graph neural networks; Graph theory; Interaction graphs; Knowledge graph; Knowledge graph completion; Knowledge graphs; Learning systems; Local semantics; Model-based OPC; Semantic features; Semantics; Semantic Web

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