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Lecture 3.1: GCN training and loss optimization
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Lecture 3.2: GNN inductive capability & graph-based learning
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Lecture 3.3: Graph pooling & embedding aggregating
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Lecture 3.4: GCN layer operations
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Lecture 3.5: Global and local aggregation methods