PyTorch Geometric GAT in Python: Learn Which Neighbors Matter
Graph Attention Networks (GAT) — learn how GATConv in PyTorch Geometric learns edge attention so node classifiers focus on the neighbors that actually matter. Follow a hands‑on workflow: build a toy graph, expose attention coefficients, train a compact classifier on Cora, and see which neighbors drive predictions. Tools covered: PyTorch Geometric (GATConv, Planetoid), PyTorch, return_attention_weights, and multi‑head tuning (concat vs average). Subscribe for clear AI foundations in Python and practical graph ML tutorials. #GraphAttention #GAT #PyTorchGeometric #GraphML #NodeClassification #PyTorch #MachineLearning

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