TransD-based Multi-hop Meta Learning for Few-shot Knowledge Graph Completion
Author:
Affiliation:
1. Hefei University of Technology,Key Laboratory of Knowledge Engineering with Big Data of Ministry of Education,Hefei,China,230601
Funder
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10190990/10190992/10191162.pdf?arnumber=10191162
Reference31 articles.
1. Rotate: Knowledge graph embedding by relational rotation in complex space;sun;International Conference on Learning Representations,0
2. A three-way model for collective learning on multi-relational data;nickel;ICML,2011
3. Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs
4. Convolutional 2D Knowledge Graph Embeddings
5. Attention is all you need;vaswani;Advances in neural information processing systems,2017
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