Understanding Graph Neural Networks with PyTorch
Source: Algorithm Advancement This article is approximately 4200 words long and is recommended for an 8-minute read. This article will introduce key parts of the "Graph Attention Networks" and implement the concepts proposed in the paper using PyTorch. Graph Neural Networks (GNN) are a powerful class of neural networks that operate on graph-structured data. They … Read more