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Knowledge graph embedding with concepts
Knowledge-Based Systems, 2019Abstract Knowledge graph embedding aims to embed the entities and relationships of a knowledge graph in low-dimensional vector spaces, which can be widely applied to many tasks. Existing models for knowledge graph embedding primarily concentrate on entity–relation–entitytriplets, or interact with the text corpus.
Niannian Guan, Dandan Song, Lejian Liao
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Knowledge Graph Confidence-Aware Embedding for Recommendation
Neural NetworksKnowledge graphs (KG) are vital for extracting and storing knowledge from large datasets. Current research favors knowledge graph-based recommendation methods, but they often overlook the features learning of relations between entities and focus excessively on entity-level details. Moreover, they ignore a crucial fact: the aggregation process of entity
Chen Huang +5 more
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Knowledge Graphs 2023 - 6.2 Knowledge Graph Embeddings
2023Sack, Harald, Tan, Mary Ann
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
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Modifier Embedding for Temporal Knowledge Graph Embedding
2023 2nd International Joint Conference on Information and Communication Engineering (JCICE), 2023Runfeng Wang +3 more
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From Word Embeddings to Knowledge Graph Embeddings
2023Heiko Paulheim +2 more
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Multidisciplinary standards of care and recent progress in pancreatic ductal adenocarcinoma
Ca-A Cancer Journal for Clinicians, 2020Aaron J Grossberg +2 more
exaly