#nodeclassification

Here’s a significantly more advanced Keras project designed for a seasoned engineer like you: it implements a Graph Neural Network (GNN) using Graph Attention Networks (GAT) in Keras, trained on a citation dataset for node classification. It’s markedly different, tackling graphs, attention, and deep embedding—far beyond typical CNN or VAE workflows. Project Title ai-ml-ds-VaZnkfTgQwL – Graph…

Here’s a significantly more advanced Keras project designed for a seasoned engineer like you: it implements a Graph Neural Network (GNN) using Graph Attention Networks (GAT) in Keras, trained on a citation dataset for node classification. It’s markedly different, tackling graphs, attention, and deep embedding—far beyond typical CNN or VAE workflows. Project Title ai-ml-ds-VaZnkfTgQwL – Graph…

Here’s a significantly more advanced Keras project designed for a seasoned engineer like you: it implements a Graph Neural Network (GNN) using Graph Attention Networks (GAT) in Keras, trained on a citation dataset for node classification. It’s markedly different, tackling graphs, attention, and deep embedding—far beyond typical CNN or VAE workflows. Project Title ai-ml-ds-VaZnkfTgQwL – Graph…

Here’s a significantly more advanced Keras project designed for a seasoned engineer like you: it implements a Graph Neural Network (GNN) using Graph Attention Networks (GAT) in Keras, trained on a citation dataset for node classification. It’s markedly different, tackling graphs, attention, and deep embedding—far beyond typical CNN or VAE workflows. Project Title ai-ml-ds-VaZnkfTgQwL – Graph…

Here’s a significantly more advanced Keras project designed for a seasoned engineer like you: it implements a Graph Neural Network (GNN) using Graph Attention Networks (GAT) in Keras, trained on a citation dataset for node classification. It’s markedly different, tackling graphs, attention, and deep embedding—far beyond typical CNN or VAE workflows. Project Title ai-ml-ds-VaZnkfTgQwL – Graph…