Graph neural network for Graph Data
An artificial neural network designed to process data that can be represented as graphs, where existing neural network architectures can be interpreted as GNNs operating on appropriately defined graphs.
Academia is trying to find a token-like material to represent every vector format in the same latent space using nodes and edges
GNN Models
GNN Notion
Understanding GNNs
Similar to the brain Neuron architecture with no limit to the volume, might be better volume simulating regularization for optimization.

Classification

Seonglae Cho