Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)
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Updated
Apr 8, 2019 - Python
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
Repository for the HackBio'2021 Internship for Team Drug-Development-A
[Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization'.
Drug-Drug Interaction Prediction on a Biomedical Literature Knowledge Graph
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
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