AstraZeneca / awesome-drug-discovery-knowledge-graphsLinks
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
☆238Updated 5 months ago
Alternatives and similar repositories for awesome-drug-discovery-knowledge-graphs
Users that are interested in awesome-drug-discovery-knowledge-graphs are comparing it to the libraries listed below
Sorting:
- A Knowledge Graph for Relational Learning On Biological Data☆106Updated last year
- ☆218Updated 3 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆154Updated last year
- TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design☆233Updated last year
- ☆68Updated 2 years ago
- Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence…☆34Updated 3 months ago
- The Clinical Trials Knowledge Graph☆64Updated 2 years ago
- Example code and data samples for "An experimentally validated approach to automated biological evidence generation in drug discovery usi…☆12Updated last year
- ☆58Updated 4 years ago
- Hetionet: an integrative network of disease☆310Updated 2 years ago
- User-friendly extensions of the DrugBank database☆193Updated 6 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆87Updated last year
- benchmark dataset and Deep learning method (Hierarchical Interaction Network, HINT) for clinical trial approval probability prediction, p…☆134Updated 4 months ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆114Updated 3 years ago
- MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)☆216Updated 3 years ago
- ☆34Updated 4 years ago
- learning biology syllabus, geared for machine learning folks☆121Updated 2 years ago
- Knowledge-enhanced learned representation enriches protein sequence and SMILES drug databases with a large Knowledge Graph fused from dif…☆61Updated last month
- Tutorials for Machine Learning on Graphs☆230Updated 4 years ago
- A database of paths that represent the mechanism of action from a drug to a disease in an indication.☆65Updated 5 months ago
- Build PharMeBINet from different sources.☆20Updated this week
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- Code to accompany the "Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs" (Briefings in B…☆18Updated 3 months ago
- Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"☆20Updated last year
- Cancer Drug Response Prediction via a Hybrid Graph Convolutional Network☆89Updated 2 years ago
- A knowledge graph and a set of tools for drug repurposing☆659Updated 3 years ago
- Don't worry about DrugBank licensing - write code that knows how to download it automatically☆59Updated 8 months ago
- Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. KG4SL is the first graph neural network …☆34Updated 2 years ago
- [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding☆149Updated 7 months ago
- code for Gogleva et al manuscript☆46Updated 2 years ago