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Inductively Representing Out-of-Knowledge-Graph Entities by Optimal
  Estimation Under Translational Assumptions

Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions

27 September 2020
Damai Dai
Hua Zheng
Fuli Luo
Pengcheng Yang
Baobao Chang
Zhifang Sui
ArXiv (abs)PDFHTML

Papers citing "Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions"

2 / 2 papers shown
Title
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural
  Network Approach
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
81
334
0
18 Jun 2017
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
110
3,206
0
20 Dec 2014
1