MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow.
Bing-Xue DuYi XuSiu-Ming YiuHui YuJian-Yu ShiPublished in: RECOMB (2023)
Keyphrases
- multi task
- maximum flow
- learning tasks
- multi task learning
- multiple tasks
- sparse learning
- learning problems
- multitask learning
- statistical learning
- minimum cut
- learning process
- feature selection
- directed graph
- supervised learning
- learning algorithm
- active learning
- text mining
- transfer learning
- learning models
- multi class
- graph partitioning
- probabilistic model