GNN (Graph Neural Networks) Nedir?

1. 1Read about GNN basics to understand their architecture
2. 2Explore applications of GNNs in node classification and graph classification
3. 3Implement a simple GNN model using a library like PyTorch Geometric or TensorFlow
4. 4Apply GNNs to a real-world problem, such as recommendation systems or traffic forecasting
5. 5Evaluate the performance of GNN models using metrics like accuracy and F1-score

Data scientists and AI engineers can benefit from understanding GNNs to apply them to complex network analysis tasks

💡 GNNs are a type of deep learning model designed for graph-structured data, enabling node and graph classification tasks

Discover Graph Neural Networks (GNNs) for analyzing complex networks!