Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"

Extraction of Drug-Drug Interactions from Biomedical Texts

Novel deep learning model for more accurate prediction of drug-drug interaction effects

Recognition of drugs and extraction of drug-drug interactions that appear in biomedical literature.

Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop

Web App that checks if any of the added medications have interactions with each other. Created as portfolio project for Web Dev course.

Drug drug interaction using LSTM and word embedding

ISCMF: Integrated Similarity-Constrained Matrix Factorization for Drug-Drug Interaction Prediction

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

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

Molormer:A Lightweight Self-Attention-Based Method Focused on Spatial Structure of Molecular Graph for Drug-Drug Interactions Prediction

TigerLily: Finding drug interactions in silico with the Graph.

An easy-to-use Deep Learning tool for Polypharmacy Side Effect prediction.

A Virtual Reality Experience - Project to examine the productivity and usefulness of Virtual Reality as a tool for education

Deep drug-drug interaction discovery and demystification (D4)

app for drug drivers to log drug use to determine when they can legally drive again

MVA-DDI: Interpretable attention network with multi-view learning for drug-drug interaction prediction (2023 BIBM)

Drugs with Allometry and Physiology Inside - Drug Drug Interaction