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TransG : A Generative Mixture Model for Knowledge Graph Embedding

TransG : A Generative Mixture Model for Knowledge Graph Embedding

18 September 2015
Han Xiao
Minlie Huang
Yu Hao
Xiaoyan Zhu
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Papers citing "TransG : A Generative Mixture Model for Knowledge Graph Embedding"

4 / 4 papers shown
Title
Conformalized Answer Set Prediction for Knowledge Graph Embedding
Conformalized Answer Set Prediction for Knowledge Graph Embedding
Yuqicheng Zhu
Nico Potyka
Jiarong Pan
Bo Xiong
Yunjie He
Evgeny Kharlamov
Steffen Staab
72
1
0
28 Jan 2025
Exploring Large Language Models for Knowledge Graph Completion
Exploring Large Language Models for Knowledge Graph Completion
Liang Yao
Jiazhen Peng
Chengsheng Mao
Yuan Luo
48
38
0
26 Aug 2023
A Re-evaluation of Knowledge Graph Completion Methods
A Re-evaluation of Knowledge Graph Completion Methods
Zhiqing Sun
Shikhar Vashishth
Soumya Sanyal
Partha P. Talukdar
Yiming Yang
19
168
0
10 Nov 2019
InteractE: Improving Convolution-based Knowledge Graph Embeddings by
  Increasing Feature Interactions
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions
Shikhar Vashishth
Soumya Sanyal
Vikram Nitin
Nilesh Agrawal
Partha P. Talukdar
26
340
0
01 Nov 2019
1