210. Graphical Neural Networks

NNs and GNNs

1. NN’s
   • Expects inputs as a node
2. GNN’s
   • Inputs/Outputs graphs instead of a singular node.
   • Expects inputs as an array of nodes.
   • Considers “Adjacency Matrix” which stores information on the relationships between each node, besides the results from the previous layer H(i-1) and the weights of the current layer.