we introduce a feature aggregation and association graph learning network (F𝐴^2GL) for CDR, which aggregates intrinsic and interaction feature representations of drugs and cell lines, and obtains their network-level knowledge from the association graph.
- python == 3.8.5
- pytorch == 1.6
- Numpy == 1.21.0
- scikit-learn == 0.23.2
- scipy == 1.5.0
- rdkit == 2020.03.6
- matplotlib == 3.3.1
- networkx == 2.5
python FA2GL.pyIf you have any questions or suggestions with the code, please let us know. Contact Kaiyi Xu at [email protected]