4 papers
Node-wise Diffusion for Scalable Graph Learning
Keke Huang, Jing Tang, Juncheng Liu +2
Graph Neural Networks (GNNs) have shown superior performance for semi-supervised learning of numerous web applications, such as classification on web services and pages, analysis o…
PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation
Huimin Zhu, Renyi Zhou, Jing Tang +1
The rational design of novel molecules with desired bioactivity is a critical but challenging task in drug discovery, especially when treating a novel target family or understudied…
Bayes in Wonderland! Predictive supervised classification inference hits unpredictability
Ali Amiryousefi, Ville Kinnula, Jing Tang
The marginal Bayesian predictive classifiers (mBpc) as opposed to the simultaneous Bayesian predictive classifiers (sBpc), handle each data separately and hence tacitly assumes the…
Bayesian supervised predictive classification and hypothesis testing toolkit for partition exchangeability
Ville Kinnula, Jing Tang, Ali Amiryousefi
Bayesian supervised predictive classifiers, hypothesis testing, and parametric estimation under Partition Exchangeability are implemented. The two classifiers presented are the mar…