Graph Neural Network Basis
摘要
The graph structure is generally composed of nodes and edges, and the nodes and edges can carry different information respectively. Since classical machine learning algorithms usually can only take the original input data of vectors, a kind of algorithm model that can directly take the graph data as input—graph neural network is proposed.