Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks
J. D. Romano, Y. Hao, J. H. Moore
This paper improves QSAR modeling for predictive toxicology by integrating semantic graph data with graph neural networks and analyzing their contributions.