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KGNN Model for Drug-Drug Interaction Prediction
I'm looking for a skilled freelancer to build a Knowledge Graph Neural Network (KGNN) model for predicting new drug interactions. Data Source: - I have genes and drug targets data available for this project but in XML format. Key Responsibilities: - Develop a KGNN model that leverages the provided biomedical data to predict new drug interactions. - Use the most suitable machine learning frameworks or libraries for the task. Ideal Skills and Experience: - Strong expertise in Machine Learning (ML), particularly with Graph Neural Networks (GNNs). - Proficiency in Python programming. - Experience in working with biomedical data is a plus. - Ability to select and use the most appropriate tools for the task, whether it's TensorFlow, PyTorch, or Scikit-learn.