most citedMolecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.LG2025

Enhancing Noise Robustness of Parkinson's Disease Telemonitoring via Contrastive Feature Augmentation

Ziming Tang, Chengbin Hou, Tianyu Zhang +3

Parkinson's disease (PD) is one of the most common neurodegenerative disorder. PD telemonitoring emerges as a novel assessment modality enabling self-administered at-home tests of…

cs.AI2024

Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs

Xinyu Lin, Tianyu Zhang, Chengbin Hou +3

Node Importance Estimation (NIE) is a task that quantifies the importance of node in a graph. Recent research has investigated to exploit various information from Knowledge Graphs…

cs.LG2024★ 1 cited

Molecular Graph Representation Learning Integrating Large Language Models with Domain-specific Small Models

Tianyu Zhang, Yuxiang Ren, Chengbin Hou +2

Molecular property prediction is a crucial foundation for drug discovery. In recent years, pre-trained deep learning models have been widely applied to this task. Some approaches t…