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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

18 June 2017
Takuo Hamaguchi
H. Oiwa
Masashi Shimbo
Yuji Matsumoto
ArXivPDFHTML

Papers citing "Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach"

3 / 53 papers shown
Title
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Yuchen Zhang
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CE
GNN
33
5,416
0
20 Dec 2018
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge
  Graph Embedding
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Peifeng Wang
Jialong Han
Chenliang Li
Rong Pan
NAI
GNN
22
156
0
04 Nov 2018
Relational inductive biases, deep learning, and graph networks
Relational inductive biases, deep learning, and graph networks
Peter W. Battaglia
Jessica B. Hamrick
V. Bapst
Alvaro Sanchez-Gonzalez
V. Zambaldi
...
Pushmeet Kohli
M. Botvinick
Oriol Vinyals
Yujia Li
Razvan Pascanu
AI4CE
NAI
121
3,087
0
04 Jun 2018
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