Understanding Negative Sampling in Knowledge Graph Embedding
نویسندگان
چکیده
منابع مشابه
Enhancing Knowledge Graph Embedding with Probabilistic Negative Sampling
Link Prediction using Knowledge graph embedding projects symbolic entities and relations into low dimensional vector space, thereby learning the semantic relations between entities. Among various embedding models, there is a series of translation-based models such as TransE [1], TransH [2], and TransR[3]. This paper proposes modifications in the TransR model to address the issue of skewed data ...
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ژورنال
عنوان ژورنال: International Journal of Artificial Intelligence & Applications
سال: 2021
ISSN: 0976-2191
DOI: 10.5121/ijaia.2021.12105