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Unified Interpretation of Smoothing Methods for Negative Sampling Loss
  Functions in Knowledge Graph Embedding

Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding

5 July 2024
Xincan Feng
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
ArXivPDFHTML

Papers citing "Unified Interpretation of Smoothing Methods for Negative Sampling Loss Functions in Knowledge Graph Embedding"

3 / 3 papers shown
Title
Negative Sampling in Knowledge Graph Representation Learning: A Review
Negative Sampling in Knowledge Graph Representation Learning: A Review
Tiroshan Madushanka
R. Ichise
43
8
0
29 Feb 2024
K-BERT: Enabling Language Representation with Knowledge Graph
K-BERT: Enabling Language Representation with Knowledge Graph
Weijie Liu
Peng Zhou
Zhe Zhao
Zhiruo Wang
Qi Ju
Haotang Deng
Ping Wang
229
776
0
17 Sep 2019
Generalizing and Hybridizing Count-based and Neural Language Models
Generalizing and Hybridizing Count-based and Neural Language Models
Graham Neubig
Chris Dyer
54
31
0
01 Jun 2016
1