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Toward Understanding The Effect Of Loss function On Then Performance Of
  Knowledge Graph Embedding
v1v2 (latest)

Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding

2 September 2019
M. Nayyeri
Chengjin Xu
Yadollah Yaghoobzadeh
H. S. Yazdi
Jens Lehmann
ArXiv (abs)PDFHTML

Papers citing "Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding"

3 / 3 papers shown
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph
  Embeddings
Multiple Run Ensemble Learning with Low-Dimensional Knowledge Graph EmbeddingsIEEE International Joint Conference on Neural Network (IJCNN), 2021
Chengjin Xu
M. Nayyeri
S. Vahdati
Jens Lehmann
244
14
0
11 Apr 2021
TeRo: A Time-aware Knowledge Graph Embedding via Temporal Rotation
TeRo: A Time-aware Knowledge Graph Embedding via Temporal RotationInternational Conference on Computational Linguistics (COLING), 2020
Chengjin Xu
M. Nayyeri
Fouad Alkhoury
H. S. Yazdi
Jens Lehmann
357
159
0
02 Oct 2020
Knowledge Graph Embeddings in Geometric Algebras
Knowledge Graph Embeddings in Geometric AlgebrasInternational Conference on Computational Linguistics (COLING), 2020
Chengjin Xu
M. Nayyeri
Yung-Yu Chen
Jens Lehmann
260
18
0
02 Oct 2020
1
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