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Attention-Based Aggregation Graph Networks for Knowledge Graph Information Transfer

Knowledge graph completion (KGC) aims to predict missing information in a knowledge graph. Many existing embedding-based KGC models solve the Out-of-knowledge-graph (OOKG) entity problem (also known as zero-shot entity problem) by utilizing textual information resources such as descriptions and type...

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Detalhes bibliográficos
Publicado no:Advances in Knowledge Discovery and Data Mining
Main Authors: Zhao, Ming, Jia, Weijia, Huang, Yusheng
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7206237/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-47436-2_41
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