/Anti-cancer-activity-prediction

This repository contains the code and resources for predicting the anticancer activity of chemical compounds against non-small cell lung cancer using graph neural networks (GNNs). The task involves building machine learning models to classify chemical compounds based on their graph representations, where atoms are nodes and bonds are edges.

Primary LanguageJupyter Notebook

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