The user should provide details about the desired Graph Neural Network architecture (e.g., GCN, GAT), specifics of their graph data (e.g., number of node features, task type like node classification or link prediction), and any preferred deep learning framework. The AI will then generate a complete, well-commented Python script for constructing and training the specified GNN.
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