Continuous Knowledge Graph Refinement With Confidence Propagation
Author:
Affiliation:
1. Department of Computer Engineering, Faculty of Engineering, Graduate School of Natural and Applied Sciences, Gazi University, Ankara, Türkiye
Funder
Scientific and Technological Research Institution of Turkey (TÜBİTAK) through the 2244 Industrial Ph.D. Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10145589.pdf?arnumber=10145589
Reference45 articles.
1. A semi-supervised model for knowledge graph embedding
2. INDIGO: GNN-based inductive knowledge graph completion using pair-wise encoding;liu;Proc Adv Neural Inf Process Syst,2021
3. Knowledge base completion by learning pairwise-interaction differentiated embeddings
4. DSKRL: A dissimilarity-support-aware knowledge representation learning framework on noisy knowledge graph
5. DeFacto—Temporal and multilingual Deep Fact Validation
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