Veni, Vidi, Vici: Solving the Myriad of Challenges before Knowledge Graph Learning
Author:
Affiliation:
1. School of Computer Science and Statistics Trinity College Dublin and Accenture Labs,Dublin,Ireland
2. BioInnovation Labs Accenture,Dublin,Ireland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10475597/10475598/10475612.pdf?arnumber=10475612
Reference43 articles.
1. Knowledge Graphs
2. Systematic integration of biomedical knowledge prioritizes drugs for repurposing
3. Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models under a Unified Framework
4. ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
5. A Review of Relational Machine Learning for Knowledge Graphs
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. SynDRep: A Knowledge Graph-Enhanced Tool based on Synergistic Partner Prediction for Drug Repurposing;2024-08-16
2. The effects of biological knowledge graph topology on embedding-based link prediction;2024-06-11
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