TechTowards Data Scienceabout 2 hours ago
Graph Neural Networks: GCN, MPNN, GAT Explained
1 min read
Graph neural networks apply neural networks to graph structures like molecules and social networks. GCNs use adjacency and feature matrices with shared weights, achieving linear complexity O(|V|+|E|). More advanced variants include MPNN and GAT architectures.
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