Ke-Jun Wu

According to our database, Ke-Jun Wu authored at least 3 papers in 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Force field-inspired molecular representation learning for property prediction.

Gao-Peng Ren, Yi-Jian Yin, Ke-Jun Wu, Yuchen He

J. Cheminformatics, December, 2023

Force field-inspired transformer network assisted crystal density prediction for energetic materials.

Jun-Xuan Jin, Gao-Peng Ren, Jianjian Hu, Yingzhe Liu, Yunhu Gao, Ke-Jun Wu, Yuchen He

J. Cheminformatics, December, 2023

Enhancing Molecular Representations Via Graph Transformation Layers.

Gao-Peng Ren, Ke-Jun Wu, Yuchen He

J. Chem. Inf. Model., May, 2023