Sign in

Efficient Chemical Space Exploration Using Active Learning Based on Marginalized Graph Kernel: an Application for Predicting the Thermodynamic Properties of Alkanes with Molecular Simulation.

Yan XiangYu-Hang TangZheng GongHongyi LiuLiang WuGuang LinHuai Sun
Published in: CoRR (2022)
Keyphrases
  • space exploration
  • graph kernels
  • active learning
  • obstacle avoidance
  • learning algorithm
  • similarity measure
  • kernel methods
  • drug discovery