GNNs are able to extract features from graphs and produce invaluable insights
Explore the most popular gnn architectures such as gcn, gat, mpnn, graphsage and temporal graph networks
Start with Graph Neural Networks from zero and implement a graph convolutional layer in Pytorch
How Neural Networks can be used in graph data