https://github.com/nyxflower/drugdiscovery

An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)
https://github.com/nyxflower/drugdiscovery

drug-design drug-discovery drug-repurposing explainable-ml gene-regulatory-networks gnn heterogeneous-graph inductive-learning knowledge-graph molecular-mechanics new-dataset predictive-models systems-biology

Last synced: about 2 months ago
JSON representation

An explainable inductive learning model on gene regulatory and toxicogenomic knowledge graph (under development...)

• Host: GitHub
• URL: https://github.com/nyxflower/drugdiscovery
• Owner: NYXFLOWER
• License: gpl-3.0
• Created: 2020-05-04T19:02:26.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2020-08-05T03:22:59.000Z (over 5 years ago)
• Last Synced: 2025-08-26T20:18:15.732Z (3 months ago)
• Topics: drug-design, drug-discovery, drug-repurposing, explainable-ml, gene-regulatory-networks, gnn, heterogeneous-graph, inductive-learning, knowledge-graph, molecular-mechanics, new-dataset, predictive-models, systems-biology
• Language: Jupyter Notebook
• Homepage:
• Size: 2.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# DrugHunter

A dynamic knowledge graph embedding methods for new drug discovery.







### Reference

- A Paper collection: Deep Learning for Graphs in Chemistry and Biology [[GitRepo]](https://github.com/mufeili/DL4MolecularGraph)

-   Hamilton W, Ying Z, Leskovec J. "Inductive representation learning on large graphs." NIPS 2017. [[paper]](https://cs.stanford.edu/people/jure/pubs/graphsage-nips17.pdf)