ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
The main goal is to implement a Graph Neural Network (GNN) for predicting molecular properties by utilizing r-radius subgraphs for enhanced molecular representation.
Use Case
It can be used to predict drug efficacy and photovoltaic efficiency, aiding in drug discovery and material science research by leveraging molecular fingerprint representations.
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Feature Description
The main goal is to implement a Graph Neural Network (GNN) for predicting molecular properties by utilizing r-radius subgraphs for enhanced molecular representation.
Use Case
It can be used to predict drug efficacy and photovoltaic efficiency, aiding in drug discovery and material science research by leveraging molecular fingerprint representations.
Benefits
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Priority
High
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