Graph neural networks: Deep Learning course | Zoonk
34. Graph neural networks
Represent entities and relationships as graphs, then apply message passing, graph convolution, attention, pooling, and link prediction. Work with node, edge, and whole-graph tasks while avoiding information leakage.
