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Implementing a Graph Neural Network (GNN) Layer
Implement a simple **Graph Neural Network (GNN) layer** for node classification on a small graph. The layer should aggregate features from a node's neighbors and combine them with the node's own...
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Building a Neural Ordinary Differential Equation (NODE) Layer
Implement a simple **Neural Ordinary Differential Equation (NODE) layer**. This involves defining a `torch.nn.Module` that represents the derivative function $f(t, z(t))$ and then using...
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