activity
20222026
most citedFrom Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning

34 citations · 111 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards

Zhixin Han, Yanzhi Zhang, Chuyang Wei +11

Live future prediction refers to the task of making predictions about real-world events before they unfold. This task is increasingly studied using large language model-based agent…

cs.AI2023★ 8 cited

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang +89

In the upcoming decade, deep learning may revolutionize the natural sciences, enhancing our capacity to model and predict natural occurrences. This could herald a new era of scient…

physics.chem-ph2023★ 30 cited

Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning

Shuxin Zheng, Jiyan He, Chang Liu +15

Advances in deep learning have greatly improved structure prediction of molecules. However, many macroscopic observations that are important for real-world applications are not fun…

q-bio.BM2022★ 34 cited

From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning

Yaosen Min, Ye Wei, Peizhuo Wang +10

Accurate prediction of protein-ligand binding affinities is an essential challenge in structure-based drug design. Despite recent advances in data-driven methods for affinity predi…

cs.LG2022★ 13 cited

Quantized Training of Gradient Boosting Decision Trees

Yu Shi, Guolin Ke, Zhuoming Chen +2

Recent years have witnessed significant success in Gradient Boosting Decision Trees (GBDT) for a wide range of machine learning applications. Generally, a consensus about GBDT's tr…

physics.chem-ph2022

An Empirical Study of Graphormer on Large-Scale Molecular Modeling Datasets

Yu Shi, Shuxin Zheng, Guolin Ke +7

This technical note describes the recent updates of Graphormer, including architecture design modifications, and the adaption to 3D molecular dynamics simulation. The "Graphormer-V…

cs.LG2022★ 26 cited

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

Yu Shi, Shuxin Zheng, Guolin Ke +7

This technical note describes the recent updates of Graphormer, including architecture design modifications, and the adaption to 3D molecular dynamics simulation. With these simple…