Shuo Zhang

According to our database, Shuo Zhang authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins.

Tian Cai, Li Xie, Shuo Zhang, Muge Chen, Di He, Amitesh Badkul, Yang Liu, Hari Krishna Namballa, Michael Dorogan, Wayne W. Harding, Cameron Mura, Philip E. Bourne, Lei Xie

PLoS Comput. Biol., January, 2023

A Universal Framework for Accurate and Efficient Geometric Deep Learning of Molecular Systems.

Shuo Zhang, Yang Liu, Lei Xie

CoRR, 2023

Learning Universal and Robust 3D Molecular Representations with Graph Convolutional Networks.

Shuo Zhang, Yang Liu, Li Xie, Lei Xie

CoRR, 2023

2022

Physics-aware Graph Neural Network for Accurate RNA 3D Structure Prediction.

Shuo Zhang, Yang Liu, Lei Xie

CoRR, 2022

Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes.

Shuo Zhang, Yang Liu, Lei Xie

CoRR, 2022

2021

Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology.

Tian Cai, Li Xie, Muge Chen, Yang Liu, Di He, Shuo Zhang, Cameron Mura, Philip E. Bourne, Lei Xie

CoRR, 2021

2020

Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures.

Shuo Zhang, Yang Liu, Lei Xie

CoRR, 2020

Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation.

Shuo Zhang, Lei Xie

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020