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

By Ke Liu, Xiangyan Sun, Lei Jia, Jun Ma, Haoming Xing, Junqiu Wu, Hua Gao, Yax Sun, Florian Boulnois, Jie Fan. 2018

31 citations recorded by the source corpus.

Subfields: Graph Learning, Computational Chemistry & Drug Discovery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Graph Learning

1. Jiayu Zhou
2. Olivier Elemento
3. Fei Wang
4. C. Gilvary

In Computational Chemistry & Drug Discovery

1. Fei Wang

Citations in the corpus

• Graph convolutional networks for computational drug development and discovery (2019, methodology): “[33] ADME Spatial Application of spatial graph convolution on molecular”