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Unified Interpretation of Softmax Cross-Entropy and Negative Sampling:
  With Case Study for Knowledge Graph Embedding

Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding

14 June 2021
Hidetaka Kamigaito
Katsuhiko Hayashi
ArXivPDFHTML

Papers citing "Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding"

3 / 3 papers shown
Title
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge
  Graph Completion?
Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
Yusuke Sakai
Hidetaka Kamigaito
Katsuhiko Hayashi
Taro Watanabe
31
1
0
15 Nov 2023
Subsampling for Knowledge Graph Embedding Explained
Subsampling for Knowledge Graph Embedding Explained
Hidetaka Kamigaito
Katsuhiko Hayashi
20
2
0
13 Sep 2022
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph
  Embeddings
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings
Mehdi Ali
M. Berrendorf
Charles Tapley Hoyt
Laurent Vermue
Sahand Sharifzadeh
Volker Tresp
Jens Lehmann
46
142
0
28 Jul 2020
1