Showing 3 of 3 projects
A Python library for machine learning on graphs and networks, offering state-of-the-art algorithms for tasks like node classification and link prediction.
A computational pipeline that predicts drug-target interactions by learning low-dimensional vector representations from heterogeneous biological networks.
A neural network model that integrates neighbor information from heterogeneous networks to discover new drug-target interactions.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.