105 citations · 109 across the 3 of their papers we have counts for
3 papers
cs.CL2023★ 4 cited
TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine
Guoxing Yang, Jianyu Shi, Zan Wang +2
Pre-training and fine-tuning have emerged as a promising paradigm across various natural language processing (NLP) tasks. The effectiveness of pretrained large language models (LLM…
cs.LG2023★ 105 cited
Comprehensive evaluation of deep and graph learning on drug-drug interactions prediction
Xuan Lin, Lichang Dai, Yafang Zhou +9
Recent advances and achievements of artificial intelligence (AI) as well as deep and graph learning models have established their usefulness in biomedical applications, especially…
cs.LG2021
STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions
Hui Yu, ShiYu Zhao, JianYu Shi
Motivation: Computational prediction of multiple-type drug-drug interaction (DDI) helps reduce unexpected side effects in poly-drug treatments. Although existing computational appr…