Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)

Madrigal: Multimodal AI predicts clinical outcomes of drug combinations from preclinical data

An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments

Graph convolutional neural network for multirelational link prediction

This repository contains the graph neural networks built with PyTorch Geometric that are used in my bachelor thesis: "Drug-Drug GNN for Drug Combination Prediction and Explanations".

Code for Null Models used in Sinzger et al. (2019) Scientific Reports, 9, 3002

Code implementation of the paper "A Deep Neural Network for Predicting Synergistic Drug Combinations on Cancer"

Enhancing Drug Combination Safety: A Comprehensive Solution

An R package for Bayesian semi-parametric modelling of in-vitro drug combination experiments