Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification

no code implementations • 29 May 2019 • Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan

A Kernel-Induced Label Propagation (Kernel-LP) framework by mapping is proposed for high-dimensional data classification using the most informative patterns of data in kernel space.

Classification General Classification

Chemi-net: a graph convolutional network for accurate drug property prediction

no code implementations • 16 Mar 2018 • Ke Liu, Xiangyan Sun, Lei Jia, Jun Ma, Haoming Xing, Junqiu Wu, Hua Gao, Yax Sun, Florian Boulnois, Jie Fan

Absorption, distribution, metabolism, and excretion (ADME) studies are critical for drug discovery.

Drug Discovery Property Prediction