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Xufeng Liu

2 accepted papers

2025

RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation

ICML 2025poster

3D Geometric Graph Neural Networks (GNNs) have emerged as transformative tools for modeling molecular data. Despite their predictive power, these models often suffer from limited interpretability, raising concerns for scientific applications that require reliable and transparent insights. While exis…

2025

RL-Guider: Leveraging Historical Decisions and Feedback for Drug Editing with Large Language Models

ACL 2025finding

Recent success of large language models (LLMs) in diverse domains showcases their potential to revolutionize scientific fields, including drug editing. Traditional drug editing relies on iterative conversations with domain experts, refining the drug until the desired property is achieved. This inter…