Modelling Metabolism Pathways using Graph Representation Learning for Fraud Detection in Sports
Author:
Affiliation:
1. Saarland University,Germany
2. German Research Center for Artificial Intelligence,Germany
3. German Sports University Cologne,Germany
4. World Anti-Doping Agency (WADA),Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10224635/10224668/10224757.pdf?arnumber=10224757
Reference40 articles.
1. Applying Machine Learning Techniques to Advance Anti-Doping;kelly;Eur J Sport Exerc Sci,2019
2. Graph attention networks;veli?kovi?;International Conference on Learning Representations (ICLR),2018
3. An overview of bioinformatics methods for modeling biological pathways in yeast
4. The Why, How, and When of Representations for Complex Systems
5. Quantitative and logic modelling of molecular and gene networks
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