Xiaoge Zhang

This paper proposes a joint learning framework for predicting drug combinations and drug-drug interactions using coupled tensor-tensor factorization with side information, achieving strong performance on new-drug prediction.

DrugLM enhances drug-target interaction predictions by integrating textual embeddings from large language models into DTI models, showing strong performance without fine-tuning.