Knowledge Graph, Knowledge Graph Embedding, Gnn, Graph Neural Networks, Graph Convolution Network.
grids, not for complex structures like graphs! Let’s reverse engineer this and apply the traditional neural network to graph structure and then arrive at why more graph-centric models are needed. Let’s say you have a graph G, where: V is the vertex set A is the adjacency matrix X is the node