TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)
This repository contains the source code and jupyter notebooks associated with our work on "Efficiently Predicting Pharmacological Side-effects Resulting from Pair-wise Combinatorial Consumption of Me...
Polypharmacy Side effect Prediction with Enhanced Interpretability Based on Graph Feature Attention Net-work
Predicting polypharmacy side-effects using knowledge graph embedding models.
APRILE: A python library for exploring Adverse Polypharmacy Reaction using Intelligent Learner and Explainer
Code used to generate a dataset quantifying multi-drug use in 80 million patients' prescription drugs claims
#计算机科学#A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
翻译 - A PyTorch and TorchDrug based deep learning library for drug pair scoring.
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)